Block4Forensic: An Integrated Lightweight Blockchain Framework for Forensics Applications of Connected Vehicles
February 02, 2018 Β· Declared Dead Β· π IEEE Communications Magazine
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Authors
Mumin Cebe, Enes Erdin, Kemal Akkaya, Hidayet Aksu, Selcuk Uluagac
arXiv ID
1802.00561
Category
cs.CR: Cryptography & Security
Citations
263
Venue
IEEE Communications Magazine
Last Checked
3 months ago
Abstract
Today's vehicles are becoming cyber-physical systems that do 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 the forensic analysis for traffic accidents. The utilization of vehicle-related data can be instrumental in post-accident scenarios to find out the faulty party, particularly for self-driving vehicles. With the opportunity of being able to access various information on the 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 Management (VPKI) to the proposed blockchain to provide membership establishment and privacy. Next, we design a fragmented ledger that will store detailed data related to vehicle such as maintenance information/history, car diagnosis reports, etc. The proposed forensic framework enables trustless, traceable and privacy-aware post-accident analysis with minimal storage and processing overhead.
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