Big Data and Privacy Issues for Connected Vehicles in Intelligent Transportation Systems

TL;DR

This paper discusses the security and privacy challenges posed by Big Data collection in connected vehicles within intelligent transportation systems, proposing security requirements and a basic system model to address these issues.

Contribution

It highlights key security and privacy challenges in Big Data for connected vehicles and proposes initial security requirements and a system model for secure data collection.

Findings

Identifies security and privacy threats in vehicle Big Data systems

Proposes security requirements for protecting data in connected vehicle networks

Outlines future research directions for secure 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.