Digital Forensic Investigation of Automotive Systems: Requirements and Challenges
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Typ
Examensarbete för masterexamen
Master's Thesis
Master's Thesis
Program
Computer systems and networks (MPCSN), MSc
Publicerad
2023
Författare
Dong, Yitao
Zhang, Jun
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
With the increasing complexity of vehicle architecture and interconnection between the vehicle and other entities, many problems arise, such as cyber attacks. Accidents can be caused by hardware or software failures, intentional or unintentional incidents. Automotive Digital Forensics (ADF) is used for determine the cause of accidents and usually includes processes like data collection, data analysis, data preservation and documentation. ADF is a relatively new field and is not well-researched. The lack of common and unified industry guidelines and standards makes ADF challenging. We have investigated previous work within the automotive and similar areas, with the aim of identifying parts applicable to ADF, such as forensic mechanisms, guidelines, standards, fulfilment of security properties, and data extraction and verification. Furthermore, we propose a framework that considers the entire life cycle of ADF.
Beskrivning
Ämne/nyckelord
Automotive digital forensics , ADF , IoT , cyber security , V2X communication , forensics guidelines , forensics model