Volkswagen Car Entertainment System Forensics
|Title:||Volkswagen Car Entertainment System Forensics||Authors:||Jacobs, Daniel
Choo, Kim-Kwang Raymond
|Permanent link:||http://hdl.handle.net/10197/9119||Date:||4-Aug-2017||Online since:||2017-12-18T17:12:32Z||Abstract:||Vehicles are fast becoming another importantsource of digital evidence in a criminal investigation.Traditionally, when a vehicle is involved in a crime scene (e.g.drink driving), the investigators focus on the acquisition of DNA, fingerprints and other identifying materials, usually non digitalin nature. However, modern day cars, particularly smart ordriverless cars, store a wealth of digital information, such asrecent destinations, favourite locations, routes, personal datasuch as call logs, contact lists, SMS messages, pictures, andvideos. In this paper, we describe some challenges associated withvehicle data forensics, an understudied area. Next, we presentour case study on forensic acquisition and data analysis of anentertainment system on a Volkswagen car.||Funding Details:||Science Foundation Ireland||Type of material:||Conference Publication||Publisher:||IEEE||Copyright (published version):||2017 IEEE||Keywords:||Optimisation & Decision Analytics; Automobiles; Digital forensics; Connectors; Tools; Entertainment industry; Law enforcement||DOI:||10.1109/Trustcom/BigDataSE/ICESS.2017.302||Language:||en||Status of Item:||Peer reviewed||Is part of:||Proceedings of The 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, Sydney, The 11th IEEE International Conference on Big Data Science and Engineering and the 14th IEEE International Conference on Embedded Software and Systems||Conference Details:||The 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, Sydney, The 11th IEEE International Conference on Big Data Science and Engineering and The 14th IEEE International Conference on Embedded Software and Systems, Sydney, Australia, 1-4 August 2017|
|Appears in Collections:||Computer Science Research Collection|
Insight Research Collection
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