Providing trust enabled services in vehicular cloud computing

Cloud Computing, the long-held dream of computing as a utility has the potential to transform (run) every service on a single platform. Today's cloud computing has become the buzzword (i.e. pay as you go) in the computing world. As extension of cloud technology, vehicle used cloud services to exchange communications over road network. Vehicular Ad-hoc Networks (VANETs) were primarily designed to support the communication between totally different vehicles (V2V) and therefore the communication between vehicles and the margin infrastructures (V2I). Vehicle Cloud Computing (VCC) is a new field of research that aims to study vehicle agents (people, vehicles, robots etc.) as they interact and collaborate to sense the environment, process the data, propagate the results and more generally share resources to exchanges communication. They need not be concerned about over-provisioning for a service whose popularity does not meet their predictions, wasting costly resources, or under-provisioning for one that becomes wildly popular, missing potential customers and revenue. Trust is an essential concern for vehicle users during using cloud services. Vehicles used location based services (during user's journey) to find the nearest location, point of interest etc. This paper aims to reduce that confusion by clarifying terms between vehicular network and vehicular cloud, and provides trusted services to vehicle users with opportunities of Cloud Computing.

[1]  Mario Gerla,et al.  Vehicular Cloud Computing , 2012, 2012 The 11th Annual Mediterranean Ad Hoc Networking Workshop (Med-Hoc-Net).

[2]  B. Padmaja Rani,et al.  Cloud Computing and Inter-Clouds – Types, Topologies and Research Issues , 2015 .

[3]  N. Sreenath,et al.  Future Challenging Issues in Location based Services , 2015 .

[4]  Sangjin Kim,et al.  Rethinking Vehicular Communications: Merging VANET with cloud computing , 2012, 4th IEEE International Conference on Cloud Computing Technology and Science Proceedings.

[5]  N. Sreenath,et al.  Preserving Location Privacy in Location Based Services against Sybil Attacks , 2015 .

[6]  Kumar Amit,et al.  A Wide Scale Survey on Botnet , 2011 .

[7]  Abdullah Gani,et al.  A Study on Strategic Provisioning of Cloud Computing Services , 2014, TheScientificWorldJournal.

[8]  Rakesh Gupta Above the Clouds: A View of Cloud Computing , 2012 .

[9]  Kai Hwang,et al.  Trusted Cloud Computing with Secure Resources and Data Coloring , 2010, IEEE Internet Computing.

[10]  Gongjun Yan,et al.  Towards Secure Vehicular Clouds , 2012, 2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems.

[11]  Dijiang Huang,et al.  VehiCloud: Cloud Computing Facilitating Routing in Vehicular Networks , 2012, 2012 IEEE 11th International Conference on Trust, Security and Privacy in Computing and Communications.

[12]  David Bernstein,et al.  A Cloud PAAS for High Scale, Function, and Velocity Mobile Applications - With Reference Application as the Fully Connected Car , 2010, 2010 Fifth International Conference on Systems and Networks Communications.

[13]  Heekuck Oh,et al.  Cooperation-Aware VANET Clouds: Providing Secure Cloud Services to Vehicular Ad Hoc Networks , 2014, J. Inf. Process. Syst..

[14]  N. Sreenath,et al.  Providing Together Security, Location Privacy and Trust for Moving Objects , 2016 .

[15]  Stephan Olariu,et al.  Taking VANET to the clouds , 2010, Int. J. Pervasive Comput. Commun..