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Internet of Things (IoT) meets Big Data and Cloud Computing

September, 2016 | Porto, Portugal

Internet of Things (IoT) meets Big Data and Cloud Computing

 

Internet of Things (IoT) is the next wave in the era of computing outside the realm of traditional desktop. The IoT ecosystem includes any form of technology that can connect to the Internet. This means connected cars, wearables, TVs, smartphones, fitness equipment, robots, ATMs, vending machines, and all of the vertical applications, security and professional services, analytics and platforms that come with them. The presence of embedded sensor nodes and the assignment of IP addresses make these physical objects smart enough to interact and share data. Considering the fact that millions or perhaps billion such objects will be connected with the Internet, the volume of data generated will be enormous. The data generated on an unprecedented scale may face peculiar security issues which may not be possible to be addressed with the existing security mechanisms. The data may be highly redundant and may require highly efficient data analysis tools to extract the useful data.  The existing tools for data analysis and extraction may not suffice this requirement and as such tools such as, Hadoop and sensor-fitted devices, are going to receive a lot of attention. The data generated by sheer number of devices in an IoT paradigm would require abundant of memory storage. However, the devices are sensor embedded and as such have restrictions on various resources such as, computation, storage, available bandwidth and battery power. As a result, the data need to be stored on distributed clouds. The existing security schemes incorporated at various clouds may not be efficient for the data of real-world physical objects because, the existing schemes dealing traditional networks data may not work with data coming from physical objects such as refrigerator, TV and fitness equipment. Hence, lightweight but efficient security algorithms need to be design for handling data of such objects on distributed clouds.
 
Potential topics of interest, which can be investigated from different perspectives include, but are not limited to, the following application domains:
 
  • Data storage techniques for IoT generated Data.
  • Interoperability of unrelated hardware architectures.
  • Security of IoT generated data at Clouds.
  • Authentication and Authorization algorithms for interacting real-world physical objects.
  • Data Analysis tools.
  • Data Fusion and Data Redundancy techniques for collected data.
  • Routing techniques for efficient resource utilization.
  • Quality of Service of collected data.
  • Real-world applications.

 

 

Selected papers will be published in Springer’s MONET Journal’s Issue – You can download the this CFP HERE

 

 

The event is endorsed by the European Alliance for Innovation, a leading community-based organisation devoted to the advancement of innovation in the field of ICT.