Paper Info
Title
Big Data and Privacy Issues for Connected Vehicles in Intelligent Transportation Systems.
Abstract
The evolution of Big Data in large-scale Internet-of-Vehicles has brought forward unprecedented opportunities for a unified management of the transportation sector, and for devising smart Intelligent Transportation Systems. Nevertheless, such form of frequent heterogeneous data collection between the vehicles and numerous applications platforms via diverse radio access technologies has led to a number of security and privacy attacks, and accordingly demands for a secure data collection in such architectures. In this respect, this chapter is primarily an effort to highlight the said challenge to the readers, and to subsequently propose some security requirements and a basic system model for secure Big Data collection in Internet-of-Vehicles. Open research challenges and future directions have also been deliberated.
Year
DOI
Venue
2018
10.1007/978-3-319-63962-8_234-1
arXiv: Computers and Society
Field
DocType
Volume
Open research,Data science,Data collection,Radio access,Computer science,Knowledge management,Intelligent transportation system,Big data,System model
Journal
abs/1806.02944
ISSN
Citations 
PageRank 
Mahmood A., Zen H., Hilles S.M.S. (2018) Big Data and Privacy Issues for Connected Vehicles in Intelligent Transportation Systems. In: Sakr S., Zomaya A. (eds) Encyclopedia of Big Data Technologies. Springer, Cham
0
0.34
References 
Authors
9
3
Name
Order
Citations
PageRank
Adnan Mahmood158.51
Hushairi Zen201.35
Shadi M. S. Hilles301.01