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Block4Forensic: An Integrated Lightweight Blockchain Framework for Forensics Applications of Connected Vehicles.

Authors :
Cebe, Mumin
Erdin, Enes
Akkaya, Kemal
Aksu, Hidayet
Uluagac, Selcuk
Source :
IEEE Communications Magazine; Oct2018, Vol. 56 Issue 10, p50-57, 8p
Publication Year :
2018

Abstract

Today's vehicles are becoming cyber-physical systems that not only communicate with other vehicles but also gather various information from hundreds of sensors within them. These developments help create smart and connected (e.g., self-driving) vehicles that will introduce significant information to drivers, manufacturers, insurance companies, and maintenance service providers for various applications. One such application that is becoming crucial with the introduction of self-driving cars is forensic analysis of traffic accidents. The utilization of vehicle-related data can be instrumental in post-accident scenarios to discover the faulty party, particularly for self-driving vehicles. With the opportunity of being able to access various information in cars, we propose a permissioned blockchain framework among the various elements involved to manage the collected vehicle-related data. Specifically, we first integrate vehicular public key infrastructure (VPKI) to the proposed blockchain to provide membership establishment and privacy. Next, we design a fragmented ledger that will store detailed data related to vehicles such as maintenance information/ history, car diagnosis reports, and so on. The proposed forensic framework enables trustless, traceable, and privacy-aware post-accident analysis with minimal storage and processing overhead. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01636804
Volume :
56
Issue :
10
Database :
Complementary Index
Journal :
IEEE Communications Magazine
Publication Type :
Academic Journal
Accession number :
132478109
Full Text :
https://doi.org/10.1109/MCOM.2018.1800137