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Abstract

While traffic crash reconstruction focuses primarily on interpreting physical evidence, the proper generation and preservation of digital data from Event Data Recorders (EDRs) can provide invaluable evidence to crash reconstruction analysts. However, data collected from the EDR can be difficult to use and authenticate, as exemplified through the analysis of a General Motors 2001 Sensing and Diagnostic Module (SDM). Fortunately, advances in the digital forensics field and memory technology can be applied to EDR analysis in order to provide more complete and usable results. This paper presents a developmental model for EDR forensics, centered on the use of existing digital forensic techniques to preserve digital information stored in automobile event data recorders.

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© 2008 Springer Science+Business Media B.V.

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Daily, J.S., Singleton, N., Downing, B., Manes*, G.W. (2008). Light Vehicle Event Data Recorder Forensics. In: Sobh, T. (eds) Advances in Computer and Information Sciences and Engineering. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-8741-7_31

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  • DOI: https://doi.org/10.1007/978-1-4020-8741-7_31

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-8740-0

  • Online ISBN: 978-1-4020-8741-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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