Browse Publications Technical Papers 2019-01-0478
2019-04-02

Analyzing and Preventing Data Privacy Leakage in Connected Vehicle Services 2019-01-0478

The rapid development of connected and automated vehicle technologies together with cloud-based mobility services are revolutionizing the transportation industry. As a result, huge amounts of data are being generated, collected, and utilized, hence providing tremendous business opportunities. However, this big data poses serious challenges mainly in terms of data privacy. The risks of privacy leakage are amplified by the information sharing nature of emerging mobility services and the recent advances in data analytics. In this paper, we provide an overview of the connected vehicle landscape and point out potential privacy threats. We demonstrate two of the risks, namely additional individual information inference and user de-anonymization, through concrete attack designs. We also propose corresponding countermeasures to defend against such privacy attacks. We evaluate the feasibility of such attacks and our defense strategies using real world vehicular data.

SAE MOBILUS

Subscribers can view annotate, and download all of SAE's content. Learn More »

Access SAE MOBILUS »

Members save up to 18% off list price.
Login to see discount.
We also recommend:
TECHNICAL PAPER

Cold Chain Management Using Model Based Design, Machine Learning Algorithms and Data Analytics

2018-01-1201

View Details

TECHNICAL PAPER

The New Era of Infotainment Systems

2015-36-0237

View Details

TECHNICAL PAPER

Secure Deterministic L2/L3 Ethernet Networking for Integrated Architectures

2017-01-2103

View Details

X