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Volkswagen Car Entertainment System Forensics

Author(s)
Jacobs, Daniel  
Choo, Kim-Kwang Raymond  
Le-Khac, Nhien-An  
Kechadi, Tahar  
Uri
http://hdl.handle.net/10197/9119
Date Issued
2017-08-04
Date Available
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.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2017 IEEE
Subjects

Optimisation & Decisi...

Automobiles

Digital forensics

Connectors

Tools

Entertainment industr...

Law enforcement

DOI
10.1109/Trustcom/BigDataSE/ICESS.2017.302
Language
English
Status of Item
Peer reviewed
Journal
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
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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insight_publication.pdf

Size

754.12 KB

Format

Adobe PDF

Checksum (MD5)

f411ce0aa764fb8cb43d2bf7a2ca1f59

Owning collection
Insight Research Collection
Mapped collections
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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