Smart Cities – Privacy, Security, #CyberAttacks and #DataProtection

Smart city components

“Smart cities” is a buzzword of the moment. There is currently no single accepted definition of a “smart city” and much depends on who is supplying the characteristics: industry, politicians, civil society and citizens/users are four immediately and obviously disparate sets of stakeholders. It is easier perhaps not to define smart cities but to elaborate their key features in orser to better understand this concept. The connecting key infrastructure that is most often mentioned as making cities “smart” includes:


  • networks of sensors attached to real-world objects such as roads, cars, fridge, electricity meters, domestic appliances and human medical implants which connect these objects (=IOT) to digital networks. These IoT networks generate data in particularly huge amounts known as “big data”.
  • networks of digital communications enabling real-time data streams which can be combined with each other and then be mined and repurposed for useful results;
  • high capacity, often cloud-based, infrastructure which can support and provide storage for this interconnection of data, applications, things, and people.


Scanning through numerous smart city projects and initiatives undertook, eight key activities can be identified that often define a smart city, ie: smart governance, smart infrastructure, smart building, smart connectivity, smart healthcare, smart energy, smart mobility and smart citizens.


A European survey shows that the benefits of smart cities are obvious, but IT security and technological challenges are a major barrier to their acceptance. Ruckus, a network connectivity provider, has published the results of its Smart Cities Survey with UK market research firm, Atomik Research. The survey surveyed 380 European IT decision-makers from the public sector.


The aim of the study is to understand the attitudes towards the implementation of smart city concepts and to learn what opportunities they offer to the industry. The majority of respondents (82%) believe that smart city technologies are helping to increase citizens’ security and reduce crime rates, for example via smart lighting or networked surveillance cameras. Although the benefits seem to be well known, fears of cyber attacks are a major barrier to the Smart City. For 58% of the IT decision makers surveyed, the biggest problem is followed by a lack of technology infrastructure and funding.


Benefits of citywide connectivity


The survey results show that the infrastructure and technology platforms created for Smart Cities could be used to add significant value to the public sector and to develop innovative applications that directly address citizens’ needs. Other areas that benefit from the smart city model include local health (81%) and transport (81%), which provide greater access to public services for citizens through extensive networking. According to IT decision-makers, smart city concepts also provide crucial benefits for the security of citizens (72%), public transport (62%) and the health service (60%).

Nick Watson, vice president of EMEA at Ruckus, said: “A basic understanding of the benefits to citizens shows that policymakers are aware of the benefits of this technology. As the return on investment becomes clearer and smart cities become more and more commonplace, targeted advocacy will allow organizations to work together to make the city of the future a reality. Of course, given the amount of sensitive data that could be divulged, it is not surprising that security concerns play a big role. Only a           secure, robust and reliable network will allow to address these concerns and create a secure foundation for smart cities. “


Benefits of smart cities


The survey shows that the public sector is well aware of the added value that smart cities has to offer. Almost two-thirds (65%) of respondents said smart cities bring benefits. 78% of respondents said that they recognize that there are strong economic reasons for investing in smart city concepts. These reasons include firstly the credibility of a smart city (20%) and future infrastructure (19%). On the other hand, there is the related attractiveness, which leads to the resettlement of companies (18%) and suggests that the true value of smart cities lies in generating revenue and boosting the local economy.

These findings are a positive step towards ideal framework conditions in which smart cities can successfully develop. To make smart cities a reality across Europe, it takes an overarching approach involving all departments of a city. However, the Ruckus survey also found that isolated projects (39%) still pose a major barrier to smart cities.

Although lack of funding is seen as the third most obstacles to rapid implementation, 78% of respondents across countries expect to have the budget for smart city solutions by 2019. This should also be facilitated by promotional announcements such as the Wifi4EU program. It gives cities the security that the infrastructure will be available to support smart technologies.


Overcome barriers


To provide these services, a stable public WiFi network is crucial. 76% of respondents agree that this is the most important factor in successfully implementing smart city concepts. 34% agree that Wi-Fi is more important than a wired network. Wi-Fi is probably the preferred infrastructure because people are familiar with it and it gives everyone access to information. If you want to be able to connect with your citizens and use the services you offer more effectively, you need a suitable infrastructure to connect with the public in a way that benefits them.

WLAN is the “glue” for intelligent cities’ network. It makes it easier to distribute the load and reduces connection problems. The access point at the edge of the network is the ideal interface that acts as a message broker by delivering traffic, performing and returning simple data processing, and placing the software through controllers.

However, not all WLAN technologies are the same. Power supply (53%), interference (52%) and backhauls (45%) are the biggest obstacles to setting up a public WLAN infrastructure. 51% of IT decision makers called the consolidation of existing networks as another crucial obstacle. This is particularly important because the number of connected devices is increasing at a time when existing networks are not prepared for the exponential growth of data consumption. IT decision makers have the clear task of choosing the right technology partner to meet the technological needs of their city.

For Ruckus, the findings of this study are an opportunity to engage in dialogue with various public-sector organizations on how smart city technologies and a public Wi-Fi network can add value. The survey shows that WLAN is considered necessary for the creation of smart cities because:

  • It gives access to everyone information (71%);
  • it delivers the necessary infrastructure to offer additional services (70%);
  • it overcomes the digital divide between citizens (67 percent);
  • it is cheaper for governments (61%);
  • it could lead to better service (37%);

The research shows that Wi-Fi is a key contributor to helping smart cities deliver reliably and sustainably, but along the way, European policymakers still have some obstacles to overcome. It is reassuring to see that there is a widespread belief that smart cities add value to society. But if the government and the public sector are not investing in the right technology, then they risk missing the numerous opportunities for cities, citizens and themselves.

NB-IoT: Narrowband Internet Of Things with a wide range of Applications

With the growing number of Internet of Things (IoT) applications, the need for transmission paths and techniques is also increasing. Recently discovered, Narrowband-Internet of Things (NB-IoT) is a standard-based low power wide area (LPWA) technology developed to connect a wide range of new IoT devices and services. NB-IoT significantly improves the power consumption of user devices, thus the “things” can send/receive data without establishing a default bearer.


This new concept has enabled IoT infrastructures to have the battery life of sensors increased to up to 10 years. Especially true for sensors used in remote areas and without power. Prime example: weather sensors in agriculture – they are predestined for the use of low-consumption, battery-powered Narrowband IoT modules. In a typical broadcasting behavior, these usually last around ten years with two standard AA batteries. Or smart metering: gas and water meters are usually installed in basements where dead spots can occur better mobile radio reception. In addition to battery life, NB-IoT network also provides adequate reception throughout the building, creating the prerequisite for reliable meter reading from a distance.


Standardized Radio Technology


NB-IoT is part of the Low Power Wide Area Network (LPWAN) and was developed as standard by the 3GPP co-operation, a worldwide collaboration of standardization committees for mobile communications. NB-IoT ensures interference-free reception in buildings and enables low-cost and area-wide networking of devices with low energy requirements, with a range of more than ten kilometers. The data transfer rate is up to 250 kbps, with a bandwidth of 180 kHz. Most NB-IoT modules transmit only once an hour or daily smaller data packets.

The advantages of NB-IoT over other LPWAN standards such as Long Range Wide Area Network (LoRa) are higher signal strength and scalability. NB-IoT enables a significantly greater number of connections per radio cell and transmits data directionally throughout. Also compared to the GSM standard, NB-IoT offers higher coverage and better building penetration. Analysts estimate that there will already be five billion LPWAN connections across the globe in five years.



Narrowband networks for Europe


Deutsche Telekom and Vodafone operate end-to-end networks throughout Europe for narrowband IoT communications on 800 and 900 MHz frequencies in operation. As for Deutsche Telekom, the national rollout in the Netherlands has already been completed. In Austria, Croatia, Greece, Hungary, Poland and Slovakia, Telekom is extending its existing NB-IoT supply to other cities. In Germany, a number of metropolitan regions are already connected – the area-wide expansion is to be completed by the end of 2018. In the other hand, Vodafone has announced their launch for Australia, New Zealand, and Germany.


NB-IoT in the field test

 Target industry for NB-IOT

The application possibilities for NB-IoT are not only limited to smart meters or the monitoring of forests, fields, and livestock in forest and agriculture. The use of NB-IoT also promises great benefits in container tracking and in the monitoring of gas tanks in transport and logistics as well as pallets and pipelines in the industry. In addition, energy service providers, for example, who use smart building solutions to collect and process consumption data – and motorists who save time and fuel with smart parking solutions, also gain practical advantages.

The city administration in Hamburg will digitize about 11,000 public and private parking lots and parking garages using NB-IoT technology in order to set up a smart parking solution. Sensors in the parking lots will communicate in real time via an app with the drivers, who are then briefed on the shortest route to the nearest free parking spot. The introduction of smart parking is also in the offing in other German cities. There, the driver should even be given the opportunity to reserve parking for a specific time in advance.

Internet of Objects Will Reach €250 Billion in 2020

BCG expects that by 2020, € 250 billion will be devoted to IoT technologies, products and services. Among the studies examining the adoption of new technologies and investments in the IoT sector, the recent market analysis of the Boston Consulting Group offers a whole new vision.

The total number of IOT connections is expected to grow from 6 billion in 2015 to 27 billion in 2025, an annual growth rate of 16%, according to Machina Research’s annual report.

The B2B market for the Internet of Things (IoT) is increasing day by day. Software-Hardware vendors, Service providers are all in competition to get the biggest market share. And to get the biggest piece of cake, every IOT provider’s concern is to know where are the growth opportunities?


Annual growth of at least 20% in the overall market


The two main sources of growth in the IoT market will be investment in services and applications. Here are the main points raised in the new BCG market study. Between 2015 and 2020, BCG expects revenues from all IoT sectors to grow at an annual rate of at least 20%. B2B customers are more focused on services, IoT analysis and applications, making them the fastest in terms of growth. By 2020, these layers will have captured more than 60% of the IoT growth. Moreover, each of these layers is expected to generate 60 billion euros of expenditure by 2020.



The ten most valuable business cases for business leaders


To spend €250 billion in IoT,  companies need to know which IoT applications have the potential to deliver more value.

Study reveals that predictive maintenance, production optimaization and automatic inventory management are the three most commonly used cases that will drive the IoT market by 2020. Business leaders are wondering how the IoT can help their businesses increase customer satisfaction, improve service quality, support new business models and reduce costs.

With those above mentioned use cases, BCG conducted a thorough analysis. They found another ten most valuable uses include the ability to use sensors to predict when machines will need to be repaired, Self Optimising Production, Automated Inventory Management, Remote Patient Monitoring , Smart Meters, Activity Trackers, Distributed Generation and Storage, Fleet management, Connected Cars and Response to Demand. The following chart compares the ten use cases by expected level of spending until maturity.



A more common digital transformation in companies that do not use technologies


By 2020, 50% of expenditures will be related to manufacturing, transportation, logistics and utilities. BCG predicts that IoT will have an even more transformative effect on non-technology-based industries. The success of this transformation depends heavily on secure, scalable, and reliable integration solutions, encompassing cloud systems and platforms.

Among the businesses to be monitored in this area, there is also more and more customers using real-time integration to connect existing ERPs, on-premises systems to cloud applications and platforms. This configuration allows for faster and more reliable operational performance.



Tech companies are becoming IoT suppliers


According to the BCG study, 40% of customers prefer to use traditional, existing and already well established software to implement their IoT solutions. This represents a challenge for large industrial companies whose future depends on their ability to transit to IoT suppliers. For example, General Electric’s Predix platform is an end-to-end industrial operating system to help its customers increase their operational efficiency. GE has made it clear that it is considering becoming a world leader in industrial IoT (IIoT) and being a major supplier to the IoT market.

Siemens is positioning itself in a similar strategy with its MindSphere platform. Azure IoT Suite from Microsoft, SAP Cloud HANA, Cloud IBM Watson and Cisco IoT System are examples of companies that redefine their business models as IoT providers. Device manufacturers such as Bosch and Intel are reinforcing to offer complementary hardware and operating systems to consolidate the IoT ecosystem of customers.

Today’s IoT customers are looking for end-to-end solutions. IOT vendors can only be successful if the connected things, communications, backbone, and security layers work seamlessly with the top layers. IoT providers don’t necessarily have to master all the components within the technology stack, but it is essential to takes into account the customer’s desire for an end-to-end solution.

#NFC-Technology: Discover the Value of NFC Application For Your #InternetOfThings


Smartphone is increasingly present in our environment. For many of us, it wakes us up in the morning, allows us to know how to dress after checking the weather, accompanies us in transportation, allows us to stay in touch with real world and many other activities related to each of us. In addition to that we are purchasing more and more products and services with our smartphones and our interaction is growing with our environment, home, car or city. And as you know, all this carries the generic name of IOT.


With performing all the previously mentioned activities, we leave our traces on the Internet. We leave information on different social medias. Only with the simple use of Gmail, free for the user, we give authorization to Google to use the information contained in our emails. By comments on blogs, on Amazon, on TripAdvisor, on Twitter, pictures on Flicker or Instagram, we therefore share much more information than we think, again, more or less voluntarily, and all this is enriching databases under the generic term of big data. This information is making the economic happiness of many companies, the first being Google, Apple or Amazon. This IOT is mainly an Internet of the data, we give our data that is recovered and exploited by others.


As more things are getting connected, concerns over data privacy and security are growing. Using NFC as a communication method can help resolve some of these concerns.


This is where the NFC comes in.


NFC (=Near Field Communication) technology was born thanks to the coupling of RFID (Radio Frequency Identification Technology) with smart cards. RFID is a contactless identification system that has been used for a long time for traceability purposes. It enables simplified transactions, data exchange, pairing, wireless connections and convenience between two objects when in close proximity to one another (about 10 centimeters). Because the communication is one-to-one and requires such close proximity, data privacy is more inherent that with other wireless approaches.


The choice of NFC technology on mobile phones is guided by several motivations related to the consumer use of the mobile phone at the present time and by various types of NFC applications conceivable in the field of mobile banking, creative marketing, health. Indeed, in recent years the integration of several technologies (4G, 4G+ networks, GPS, NFC, etc.) into the mobile phone has transformed it into a multiservice tool that cannot be ignored in our daily lives.


Today, NFC technology is gaining interest from manufacturers, particularly those in the telephony, IOT and sensors sector, who have integrated it into many consumer Smartphones. There are many applications ranging from electronic payment to time-stamping and localization.


Communication Modes of NFC:


NFC has 3 communication modes: Card emulation mode, The reader mode and Peer-to-Peer.


Card emulation mode: In this mode, any NFC enable device, can be used to make transactions instead of using any contactless card. In the case where the NFC enable device is a compatible mobile phone, the SIM card of the operator can be used as a security element by storing encrypted information. There are many different sort of card-type applications, such as, contactless payments, identification card, loyalty card, access control, motel pass cards etc.


The reader mode : The mobile terminal becomes a contactless card reader (active mode) or “radio labels” (electronic tags). This mode allows you to read information from various NFC-enables smart objects, only by approaching your mobile phone in front of electronic tags placed on the street, on bus shelters, monuments, posters … or on packages, products = smart advertising. Not only reading but it’s also possible to write information to these smart information sources using the right NFC enabled device.


Peer-to-Peer Mode: This mode allows two NFC enabled devices to exchange information, such as vCards, photos, videos, tickets, etc. A device with NFC technology is capable of exchanging information with contactless smart cards but also with other devices equipped with this technology. In peer-to-peer mode, one of reader/writer behaves as a tag, creating a communication link. Using NFC in this mode is equal to having a secure network in your pocket that you can use in any location with peace of mind.



Study Case: Hotel Room Access


Let’s take a first mobile phone user, who usually travels and book hotels for his stay. This person has a SIM card in which an NFC application is installed. His mobile operator, in Belgium, told him that he could access NFC devices thanks to his SIM card because it has a SIM-Centric technology.


Our user thus travels on business in different regions of Belgium. The hotels in which he stays ask him to pass his phone in front of a terminal in order to obtain a digital key. So, his phone can be used as a key.

Afterwards, our user goes to a conference in Germany and also wants to check-in in a hotel room. At the time of registration, the reader accepts his SIM card but informs him that his operator will charge him a fee due to this service outside Belgium.


Upon returning from the conference, the user asks his operator to change the billing-plan so that he does not have to pay any fees in the future and the operator tells him that this is impossible because at the moment the service costs the operator.


In another case our user could book his hotel room online. He would then receive on his mobile phone an electronic key that would be valid throughout the stay and that, when used with the NFC chip and the appropriate application, would allow him to access his room by presenting the mobile in front of the door equipped with an NFC reader.


The Clarion Hotel in Stockholm, helped consumers to access directly their rooms and avoid queues by replacing all room keys in 2011 with digital keys for customers already equipped with NFC devices. Same approach for check-out, made with a simple touch between their phones and the lobby reader. 60% of users said they had saved more than ten minutes and 80% would use the system again if they had the opportunity while the hotel was able to reassign check-in staff while removing keys replacement problems.


Transport users already use their phones as boarding passes and we witness NFC payment systems in restaurants, taxis, shopping malls or distributors. In hospitals, offices, university campuses, we can use our phones to enter buildings, make purchases, use transportation and identify ourselves. NFC phones is even being used to provide physicians with access to your medical history.


Industry experts predict that the NFC will continue to revolutionize our lives in the years to come. Our daily checklist – “keys, wallet, phone” – is about to shorten. It will not take long before you see the functionality of these three objects integrated into an NFC compatible handset.

#Data : An Important Piece To “The #InternetOfThings” Puzzle

Internet of things

Every day, connected objects generate billions of information that must be processed and analyzed to make them usable. Thanks to the development of connectivity on multiple devices, the arrival of inexpensive sensors and the data inflation they transmit, IoT have took irreplaceable place in our daily lives. IDC forecasts worldwide IOT market to grow more than $7,1 trillion by 2020. The number of devices will more than double from the current level, with 40.9 billion forecasted for 2020.


These very serious estimations do not, however, take into account the full extent of this digital revolution. If the design of connected objects is the showcase of the IoT and its vast possibilities, it still requires strong skills on the processing of the exploited data collected from sensors terminals, machines and platforms to interpret it in order to boost productivity and increase performance.


Just as in jewel market, the big winners are gold/diamond dealers. In the IOT domain, this role is played by companies able to manage the mountains of data generated by these connected devices because the collected data is profoundly changing the way businesses used to operate. Almost every day, new applications are imagined, with consequences at all levels of organizations because the real added value of connected objects only comes from the uses and the ability of companies to create new services.


Several studies demonstrate that companies are still facing a gap between the collection of new data and the presentation of the analyzed information so that it can be understood and explored in great detail, whether it is for a connected house, connected car, a portable terminal or an industrial solution.


Here below is the list of tips companies must consider before every IOT project implementation:


  • Sort valuable information among a big volume of data:
    Exploiting IoT means generating a huge amount of data. The challenge for companies is to filter the stray information and find the ones that are really important. This is why many companies integrate a flow analysis and a process analysis. The first provides real-time information from data streams such as navigation paths, logs, measurement data, and the second is to take machine data captures.


  • Set and manage priorities:
    The IoT implies different levels of necessity in terms of urgency and latency. It’s important to take this into account because one expects to interact with the “real world” in real time. For example, sensors in mines must trigger an alert as soon as they detect the presence of toxic gases. Similarly, other IoT information may not be needed “just in time”, such as regularly collected data to further refine and improve the predictive model itself. This data can potentially be collected and processed several times a day, for example.


  • Design considerations for IoT technologies:
    Information security, privacy and data protection should systematically be worked at the design stage. Unfortunately, in many cases, they are added on later once the intended functionality is in place. This not only limits the effectiveness of the added-on information security and privacy measures, but also is less efficient in terms of the cost to implement them. Although industries are actively working to address this, it stays a major IoT problem.


  • Cross the Data:
    In the case of preventive operations, for example, companies want to collect data from objects (such as smart meters) and cross them with relevant relational data, such as maintenance agreements, warranty information and life cycle components. It is therefore essential that companies can rely on the data from which they make important decisions.


  • Tracing the data:
    The increased collection of data may raise issues of authentication and trust in the objects. In addition, it should also be noted that by using information collected about and from multiple objects related to a single person, that person may become more easily identifiable and better known. So in order to fully exploit the potential of IoT, tools must be much more flexible and allow users to shape and adapt data in different ways, depending on their needs or those of their organization.


Collaboration between the IT team and business experts is more critical than ever before in analyzing IoT data. In addition to those who understand the data, it takes experts to analyze gathered data from specific devices or sensors. While any analyst can understand the data in the context of a company’s performance indicators, only a data specialist would be able to explain what kind of hidden data contains a wealth of information, and how with the right tools, companies can unleash that potential.

IT Challenge n°2: Rise of new Partnership Models


IT Partnership Models

2020 companies will be totally interlinked organizations within an ecosystem in which new strategic partnerships and associations will be formed, as well with customers, suppliers and competitors!


A profound transformation of the ecosystem

The growth of value creation is a major trend in digital era. We witness more and more companies opening up, thanks to the multiplication of the interactions allowed by cloud, data repositories, connected objects … This condition requires companies to rethink their business partnership strategies within their ecosystem in order to succeed in the age of digitization.

This ecosystem is very extensive, with an interesting diversity of actors, such as, GAFA (Google, Apple, Facebook, Amazon), start-ups, innovative SMEs, communities, customers, employees, self-entrepreneurs, suppliers, public and local authorities and political institutions… In the era of “co-something”, a company can no longer succeed alone in its market, particularly because of the rapid emergence of new business models, competitors “out of nowhere” and an accelerated renewal technology.


The challenges: anticipate and ally

Controlling the ecosystem depends on anticipating the evolution of it’s different actors, to be noted that actors in the traditional IT are not necessarily those of the current ecosystem, nor, of tomorrow. Some will disappear or merge, others will emerge, many will become partners.

Establishing a good relationship with the right partner, which can be a supplier, requires joint sharing of opportunities and risks, commitment to common goals, and shearing value. And this sharing of value aims to bring something new and positive to the partners, and ultimately to help them grow. Strategic partnerships can be established when there are common objectives for value creation. With this perspective, the partnership is strategic and is quite different from the traditional customer-supplier relationship (even major), in which the parties are bound by a contract for the providing services.

The objectives of each party must be the same and the balance of the relationship arises precisely because of that different but valuable opinions and ideas.


Challenges: Negotiation and Confidence

  • Collaborate: one of the typical challenges of partnerships will be to manage the paradox between internal resources (including CIOs) that are experiencing difficulties and struggles, collaborating and, on the other hand, the market, which requires close collaboration to better innovate.
  • Dialogue: companies are confronted with a cultural interoperability challenge in order to engage all the actors involved, even if they do not share a common language.
  • Establishing trust: a partnership relation is always based on trust. Thus, it is not a question of “collaborating to collaborate”, but of collaborating to win together, in order to create communities that engage clients and collaborators.

R-Link is the result of a long-term partnership between Renault and Tom-Tom. R-Link is an integrated multimedia tablet, driven by a tactile control or an advanced voice command. It combines, the various functions related to multimedia in the car such as, navigation, radio, telephony, messaging, well-being, eco-driving. Renault’s interest in combining with Tom-Tom was to increase the value for its customers, to know them better and to improve the level of service.
This example illustrates the idea of a service platform: Renault added services to its products by developing the customer experience.


To conclude, I’ll say that the success of these new partnership model depends only on the business taking much greater role in designing, building, and exploiting the technology, platforms, and data it needs to succeed. Overcoming challenges of traditional IT management is a step forward of bringing IT closer to its true mission and succeeding in all IT collaborations.

Secure #IOT: and if #BigData was the key?

By 2020, the planet will have more than 30 billion connected objects according to IDC. The security of these objects is a major discussion topic. Ensuring the security, reliability, resilience, and stability of these devices and services should be a critical concern not only for manufacturer, companies using them but also for the end user. Security solutions abound on the market, but has anyone just thought of Big Data?


The Internet of objects is third industrial technological revolution, enabling companies to work smarter, faster and of course in a more profitable way. IOT represents endless and challenging opportunities, and above all, it shows that a full-fledged ecosystem is being created. This is very different from big data, because most companies consider big data to be static; the data is generated in logs that have utility only where they are, because there is no connectivity. With the Internet of objects, the data is mobile.


A good example of the potential created by the Internet of objects is the work done by Deloitte and a medical device manufacturer in order to optimize the management of chronic diseases in patients with implanted devices. They have established remote data transmissions from patient pacemakers. Pacemakers communicate via Bluetooth at low frequency and contact the healthcare provider using a handset. With this connected object, the physician can obtain real time information to better determine the treatment protocols.


However, there’s one critical issue that still need to be addressed to facilitate the Internet of objects adoption by every organization, and this issue concerns the IOT security as well as all the elements that makes it up. With billions of objects and terminals connected to the Internet, including cars, homes, toasters, webcams, parking meters, portable objects, factories, oil platforms, energy networks and Heavy equipment, the Internet of objects abruptly multiplies the surface of threats, increasing the number of vulnerabilities and creating millions of opportunities for threats and attacks.

IOT Risk Management

The recent DDoS attack illustrates the alarming dangers and risks associated with unsecured devices and components of Internet of objects. This should certainly have the effect of raising awareness for businesses and individuals, and should lead them to take actions for the security of Internet of objects. According to a recent study released by computer security firm ESET and the NCSA (cyber security alliance), about 40% of respondents in the US have no confidence in the security and privacy of connected objects. So these security issues will remain at the forefront as long as manufacturers will not seriously removed security vulnerabilities, and companies won’t increase their internal cybersecurity measures to effectively detect and counter future security threats. Although it is necessary to take into account many parameters to secure the Internet of the objects (security of the terminals, network security, etc.), one of the key pieces of the puzzle is to determine how to take advantage of massive quantities of data continuously generated by the devices.


A data-driven approach to prevent IOT cyber attacks


Big data plays a crucial role in protecting a company and its assets against cyber threats. The future of the fight against IOT cybercrime will be based on the use of data for cybersecurity. According to a recent Forrester report, “Internet object security means monitoring at least 10 times, if not more than 100 times more physical devices, connections, authentications and data transfer events as today. Having a better ability to collect event data and intelligently analyze them through huge data sets will be crucial to the security of connected systems. “

Given all this, companies need to think about these two following things to prepare for this new era …


The first is that companies need to rethink the security perimeter. Recent attacks that have targeted connected objects have made clear that the “security perimeter” is now more conceptual than physical. The constantly evolving nature of our new hyperconnected world also leads to the constant evolution of threats. As the technical community continues to connect the world and contribute to innovations that improve home security, improve medical care and transform transport, it is clear that the hackers will seek to exploit these same innovations for harmful purposes. We need to rethink the perimeter of security as the corporate edge continues to expand beyond the traditional borders to which we were used to.


Then, the detection of the threats must adapt to the magnitude of the connected objects. The world continues to hyper-connect, the number of security events that any enterprise must store, consult and analyze are also increasing significantly. Having a cybersecurity platform capable of supporting billions of events is essential to ensure total supervision of all devices connecting to and accessing a company’s network. The use of technologies such as #MachineLearning for the detection of anomalies will allow companies to continue to detect suspicious behavior on the workstations without any human intervention. The ML scalability coupled with the Internet of the objects will be the key to the anticipated detection of the threats specific to IOT.


As we know, by 2020, the planet will have more than 30 billion connected objects. To get the most out of these revolutionary innovations and prevent them from becoming a nightmare in terms of IT security, organizations will have to learn how to manage, process, store, analyze and redistribute a vertiginous volume of data in real time and all of this by respecting security norms.. We increasingly depend on these devices for essential services, and their behavior may have global reach and impact.



Big Data: 2017 Major Trends

big data trends 2017

Over the past year, we’ve seen more and more organizations store, process and exploit their data. By 2017, systems that support a large amount of structured and unstructured data will continue to grow. The devices should enable data managers to ensure the governance and security of Big Data while giving end-users the possibility to self-analyze these data.

Here below the hot predictions for 2017.


The year of the Data Analyst – According to forecasts, the Data Analyst role is expected to grow by 20% this year. Job offers for this occupation have never been more numerous before. Similarly, the number of people qualified for these jobs is also higher than ever. In addition, more and more universities and other training organizations offer specialized courses and deliver diplomas and certifications.


Big Data becomes transparent and fast – It is obviously possible to implement machine learning and perform sentiment analysis on Hadoop, but what will be the performance of interactive SQL? After all SQL is one of powerful approach to access, analyze, and manipulate data in Hadoop. In 2017, the possibilities to accelerate Hadoop will multiply. This change has already begun, as evidenced by the adoption of high performance databases such as Exasol or MemSQL, storage technology such as Kudu, or other products enabling faster query execution.


The Big Data is no longer confined to Hadoop – In recent years, we have seen several technologies developing with the arrival of Big Data to cover the need to do analysis on Hadoop. But for companies with complex and heterogeneous environments, the answers to their questions are distributed across multiple sources ranging from simple file to data warehouses in the cloud, structured data stored in Hadoop or other systems. In 2017, customers will ask to analyze all their data. Platforms for data analytics will develop, while those specifically designed for Hadoop will not be deployable for all use cases and will be soon forgotten.


An asset for companies: The exploitation of data lakes – A data lake is similar to a huge tank, it means one needs to build a cluster to fill up the tank with data in order to use it for different purpose such as predictive analysis, machine learning, cyber security, etc. Until now only the filling of the lake mattered for organizations but in 2017 companies will be finding ways to use data gathered in their reservoirs to be more productive.


Internet of Objects + Cloud = the ideal application of Big Data – The magic of the Internet of Objects relies on Big Data cloud services. The expansion of these cloud services will allow to collect all the data from sensors but also to feed the analyzes and the algorithms that will exploit them. The highly secure IOT’s cloud services will also help manufacturers create new products that can safely act on the gathered data without human intervention.


The concentration of IoT, Cloud and Big Data generates new opportunities for self-service analysis – It seems that by 2017 all objects will be equipped with sensors that will send information back to the “mother server”. Data gathered from IoT is often heterogeneous and stored in multiple relational or non-relational systems, from Hadoop cluster to NoSQL databases. While innovations in storage and integrated services have accelerated the process of capturing information, accessing and understanding the data itself remains the final challenge. We’ll see a huge demand for analytical tools that connect natively and combine large varieties of data sources hosted in the cloud.


Data Variety is more important than Velocity or Volume – For Gartner Big Data is made of 3 V: Large Volume, Large Velocity, Large Variety of Data. Although these three Vs evolve, the Variety is the main driver of investment in Big Data. In 2017, analysis platforms will be evaluated based on their ability to provide a direct connection to the most valuable data from the data lake.


Spark and Machine Learning makes Big Data undeniable – In a survey for Data Architect, IT managers and analysts, almost 70% of respondents favored Apache Spark compared to MapReduce, which is batch-oriented and does not lend itself to interactive applications or real time processing. These large processing capabilities on Big Data environments have evolved these platforms to intensive computational uses for Machine Learning, AI, and graph algorithms. Self-service software vendor’s capabilities will be judged on the way they will enable the data accessible to users, since opening the ML to the largest number will lead to the creation of more models and applications that will generate petabytes of data.


Self-service data preparation is becoming increasingly widespread as the end user begins to work in a Big Data framework – The rise of self-service analytical platforms has improved the accessibility of Hadoop to business users. But they still want to reduce the time and complexity of data preparation for analysis. Agile self-service data preparation tools not only enable Hadoop data to be prepared at source, but also make it accessible for faster and easier exploration. Companies specialized in data preparation tool for Big Data end-user, such as, Alteryx, Trifacta and Paxata are innovating and consistently reducing entry barriers for those who have not yet adopted Hadoop and will continue to gain ground in 2017.


Data management policies in hybrid cloud’s favor – Knowing where the data come from (not just which sensor or system, but from which country) will enable governments to implement more easily national data management policies. Multinationals using the cloud will face divergent interests. Increasingly, international companies will deploy hybrid clouds with servers located in regional datacenters as the local component of a wider cloud service to meet both cost reduction objectives and regulatory constraints.


New safety classification systems ensures a balance between protection and ease of access- Consumers are increasingly sensitive to the way data is collected, shared, stored – and sometimes stolen. An evolution that will push to more regulatory protection of personal information. Organizations will increasingly use classification systems that organize documents and data in different groups, each with predefined rules for access, drafting and masking. The constant threat posed by increasingly offensive hackers will encourage companies to increase security but also to monitor access and use of data.


With Big Data, artificial intelligence finds a new field of application – 2017 will be the year in which Artificial Intelligence (AI) technologies such as automatic learning, natural language recognition and property graphs will be used routinely to process data. If they were already accessible for Big Data via API libraries, we will gradually see the multiplication of these technologies in the IT tools that support applications, real-time analyzes and the scientific exploitation of data.


Big Data and big privacy – The Big Data will have to face immense challenges in the private sphere, in particular with the new regulations introduced by the European Union. Companies will be required to strengthen their confidentiality control procedures. Gartner predicts for 2018 that 50% of violations of a company’s ethical rules will be data-related.



Top 10 Big Data Trends 2017 – Tableau

Big Data Industry Predictions for 2017 – Inside Bigdata

#InternetOfObjects and the Emerging Era of #CloudComputing


Big data and connected objects represent an important source of economic growth according to numerous studies. They open the possibility to connect people or objects in a more relevant way, to provide the right information to the right person at the right time, or to highlight information that is useful for decision-making. Allied to Big Data, connected objects give professionals new opportunities to better understand customer needs and better satisfy them.


According to McKinsey, the overall economic potential of the IoT universe could be between $ 3,900 billion (US ‘trillion’) and 11,100 billion per year by 2025! So with 30 billion connected objects by 2020 it’s now necessary, more than ever, to rethink the use of Cloud.


The explanation of this boom?
Connected objects are already very widespread and are gradually taking over all sectors. The general public sees it as a way to improve everyday life, while companies are already using it to control and improve industrial processes and propose new services. Cities and vehicles are becoming smart by using different types of sensors.


Nearly all manufactured goods entering the market – vehicles, equipment for energy or water supply, health sector equipment, scientific and technical research facilities, machine tools and robots, etc. – all are bound to be connected and, for a good part, to be interconnected.


We are only on the premises but very well equipped with advanced technologies, the only thing to do is to imagine their great usage that will respond to every real expectations and will bring real added value. This ability to make our environment much smarter is linked to sensors, to the data collected by these sensors and to the speed of processing of this data. The triangle of Connected Objects, Big Data and Cloud will become essential to transform this universe of connected objects into intelligent systems.


Future of IOT Data 
The continuous flow of data generated by IOT is challenging the networks. All of these billions of objects that can be interconnected via the Internet are accelerating the real tsunami of announced data. The cloud is a simple and flexible way to deal economically with this mass of data that will continue to grow with time and new uses. And to cope with this huge data, the computing power will have to be adjusted. With the successful adoption of IoT, manufacturers will work on new systems architectures, especially those that are “hyper-integrated”, “hyper-convergent”, and can bring very high performances.


Cloud, indispensable for the development of the internet of objects
Connected objects are synonymous with capturing very large masses of valuable data. The gathered information via IoT will have to be stored, transmitted and analyzed for which the choice of Cloud infrastructure is the most appropriate method. Firstly because of the flexibility afforded by this type of offer only a Cloud solution allows real-time adaptation of the infrastructure capacity according to the level of demand. A flexibility for the management of all the connected objects devoted to knowing peaks of load and allows connected devices to interact with powerful back-end analytic and control capabilities. 

Furthermore, this flexibility can play more decisive role for commercial success, a situation in which it is essential to adapt its infrastructure quickly to meet demand. A necessity that affects the companies of moderate sizes seeking to contain their investments in technical infrastructures.

A flexible cloud service for connected devices can facilitate critical business decisions and strategies process by allowing you to connect your devices to the cloud, analyze data from those devices in real time, and integrate your data with enterprise applications, web services etc.


New skills and infrastructure needed
Applications linked to IOT are limited only by the human imagination. From automotive to home automation, to medical and healthcare industry, entertainment and education, IOT is pervasive and growing rapidly and transforming all economic sectors. To operate these innovative devices, it will be necessary to develop applications capable of collecting and processing the data that they will generate. The manufacturers of connected objects and the service providers responsible for the management of these applications must therefore provide themselves with appropriate skills and infrastructures.

Value Creation with #BigData and #ConnectedObjects

The Internet of Things and the Big Data have extended the digital revolution to all parts of the economy. With the Internet of objects (IoT) and gathered data we are at the dawn of a new digital revolution. If #BigData helps companies to understand the behavior and expectations of their customers, the connected objects are contributing to the process.


Three aspects of the digital revolution in particular are shaking up technology, industry and the economy with profound social consequences: “the decrease of computing and telecommunication costs, which are gradually becoming cheap resources and easily accessible to everyone, IOT evolutions leading into an era of continuous and never-ended innovation and the desire to create something outside the box, a new economic mechanisms which in particular enables the development of activities with increasing returns that redefine the competitive rules of the game”.



One by one, all economic sectors are switching to the digital age by threatening disappearance of businesses that won’t evolve. Companies must consider their positioning in this new paradigm, rethink their business model, to develop new competitive advantages – those of the previous era becoming partially obsolete – and then to transform to implement the new vision.


Positioning and competitive advantages: Companies must first understand the potential value creation of connected objects and Big Data in their markets. Here are four key capabilities of connected objects combined with Big Data:


  • Monitoring: The sensors placed on the connected objects will provide with more information and control in order to identify and fix these problems. The data can also be used indirectly to better contemplate the design of future objects, to better segment the market and prices, or to provide a more efficient after-sales service;
  • Control: use of the gathered data by algorithms placed in the product or in the cloud makes it possible to remotely control the objects if they are equipped with actuators;
  • Optimization: the analysis of the current and past operating data of an object, crossed with all the other environmental data and the possibility of controlling them, makes it possible to optimize the efficiency of the object;
  • Autonomy: the combination of all previous capabilities and the latest developments in artificial intelligence allows to achieve a high level of autonomy of individual objects (such as household vacuum robots) or complete systems (such as smartgrid).

In addition, connected objects require companies to re-evaluate their environment, as the data produced and the services and platforms that accompany them allow for system optimization on a large scale. For example, public transport is already being considered in the context of a wider mobility market, in which the aim is no longer to operate a bus or subway network, but to help a Customer to go from point A to point B.

The ecosystem then expands to include transportation facilities in and around the city (bus, metros, individual car, taxis, car-sharing, etc.). .), GPS and mobile applications, social networks of users and infrastructures of the city (road, car parks, etc.).


Transformation of the business model: Once measured the appearance of connected objects and their impact on a defined market, companies must think of their transformation to excel in this new paradigm. First, the company must evolve most of its functions and their expertise, in terms of:


  • Design: connected objects are more scalable, more efficient and less energy-consuming. Greater collaboration is needed between software teams and hardware teams to design new products and services that integrate more intelligence, sensors and remote capabilities in the cloud using Big Data;
  • Marketing: the new data created by the connected objects make it possible to better segment the market and individualize the customer relationship. This individualized marketing also makes it possible to design services more easily adaptable while preserving economies of scale;
  • Customer services: the role of customer services is gradually evolving towards the prevention of breakdowns, sometimes at a distance. The analysis of the data also allows these services to understand the causes of breakdown, in particular to improve the design.


We are witnessing a new era of the Internet of Things that, along with Big Data and cloud computing, is one of the key foundations for companies of the future. To do their best, companies will have to acquire much more robust technological infrastructure as these objects should be created within a safe environment where we trust digital technology. More fundamentally, companies need to evolve their structure and governance to gain agility and adaptability.