Data Science Internet Of Things Technology and Innovation

Internet Of Things & Big Data : The Rise of New Dilemmas

Big Data and the Internet of Things
Servane Salmon
Written by Servane Salmon

Nowadays, connected devices and objects are challenging Big Data on new matters that include quick processing of multiple data sources from the Internet Of things but also cybersecurity. Internet of Things innovations’ are still at low maturity stages, but they represent a real potential which are able to modify deeply the processing of data. According to a report by IDC [1] (International Data Corporation), Big Data market will reach $125 billion in 2015. As said by some tech experts, we can already see the emergence of major technological challenges for Big Data in the next years: How can we process such amount of data, how can we measure the reliability of this amount of data and how can we secure them?

#1 Internet Of Things challenge: Processing Capacity & Reliability

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The large amount of sensors integrated into our connected objects (known as 80 billion units outstanding for 2020[2]) generate many data that must be stored but also that should be accessible to the ones that use them. Therefore, the reliability of this access and the storage of all the data become an important issue. The Internet of Things (IoT) will challenge companies to a huge increase in the volume of generated data.

With limited capacity of IT infrastructure to manage the storage and processing of data, companies must start thinking about solutions that will enable them to optimize their data center and facilitate its elasticity. Virtualization of networks, including chaining services or dynamic management of business flows can have a decisive role to exploit all the potential of the Internet of Things.

The wide variety of IoT products and applications, whether they already exist or not, will lead to a prioritization of data centers. In the next years, we expect to see the creation of new small and middle size datacenters that will feed the main datacenters. The management of these resources will not be a simple task like nowadays, to achieve this, a large part of the network must be automated to manage some parameters like real-time for example. It also means making software adjustments to optimize the processing, storage and delivery of data. For some companies that will choose a hardware approach it would requires a longer deployment of services and it would be almost impossible to maximize the use of available resources. But the process of data will not be the only issues of this flood of data because this data will have to be secure.

Second Challenge: Cyber security

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All these new objects that will invade our daily lives, our homes, our cars, our clothes, our bodies, etc.[3]  can communicate through each other and have memory capacity, processor and limited energy that make them vulnerable to cyber attackers.

Threats of IoT in terms of safety may include the objects themselves but also the underlying information systems that can be hosted on remote servers or on the Cloud. Connected objects are largely vulnerable if they are not highly protected and these days some companies are looking for hiring hackers to test their security methods[4].

Now there are even search engines which reference poorly secured connected objects or poorly protected, this enhance the need of secure cloud environment or datacenter. This is exactely why Orange launched last fall Datavenue[5], a secure platform for IoT creators’.

For Big Data, the challenge is also to secure the processing of data by checking that they are not vulnerable and contain no flaws. Another type of security platform called c-Frama[6] allows the analysis of the source code to detect a potential default but also to know if the memory of the computer is used wisely or if the machine records its data in a secure part of its memory. These three technological challenges will accelerate the automation of data analysis process in connection with the rapid development of connected objects in the world.

We must deal with objects connected with the same consideration as computers, smartphones and tablets. Yet organizations often underestimate the safety of their IoT projects at the risk of exposing sensitive data. Companies must carefully evaluate the amount of devices they install on their networks to mentor the huge volumes of data traveling across these devices and networks. Without proper preparation and consistent administration, the explosion of data produced by component devices of IoT may slow networks and overwhelm existing security infrastructure.

It is necessary for companies to be extremely vigilant and not to implement a major IoT program without understanding the impact of these devices on their safety. In this context, companies must get help from service companies to accompany them in their projects and to draw their attention on potential risks and existing solutions.

The world of the Internet of Things offers fascinating prospects for economic growth and improvement of everyday life, but it should be in full control of risks. Users and companies should become fully aware of all structural risks and should be informed of their rights so that they can control their data at any time.


[1] http://www.idc.com/getdoc.jsp?containerId=prUS25329114

[2]http://www.ey.com/Publication/vwLUAssets/EY-cybersecurity-and-the-internet-of-things/$FILE/EY-cybersecurity-and-the-internet-of-things.pdf

[3] http://www.gartner.com/newsroom/id/3165317

[4] http://www.cbsnews.com/news/companies-hire-hackers-to-break-into-their-systems/

[5] http://www.orange.com/en/show-hello/show-hello-2014-tech/Orange-Datavenue

[6] http://frama-c.com/about.html

About the author

Servane Salmon

Servane Salmon

⇒ Digital Native passionate about Fashion and Digital Ecosystem.
⇒ Digital Business Strategy @ Grenoble Ecole de Management
⇒ International E-Commerce and CRM Assistant @ l'Oreal