Vehicular infotainment forensics: collecting data and putting it into perspective

dc.contributor.advisorEl-Khatib, Khalil
dc.contributor.authorLacroix, Jesse
dc.date.accessioned2017-11-08T20:48:29Z
dc.date.accessioned2022-03-29T17:39:16Z
dc.date.available2017-11-08T20:48:29Z
dc.date.available2022-03-29T17:39:16Z
dc.date.issued2017-01-01
dc.degree.disciplineComputer Science
dc.degree.levelMaster of Science (MSc)
dc.description.abstractIn today’s transportation system, countless numbers of vehicles are on the road and later generations have become mobile computers. Vehicles now have embedded infotainment systems that enable user-friendliness and practicability with functions such as a built-in global positioning system, media playback device and application interface. Smartphones and laptops can connect to them through Bluetooth and WiFi for all sorts of utilities. This enables data flow between a user’s device and the infotainment system and because of this interaction, data remnants are kept on these embedded devices. It is important to determine what type of data is stored long term since this information reflects a user’s activity and potential personal information. In terms of forensics, this data could be used to solve criminal activities if a vehicle was suspected of being an accessory to a crime; raising general awareness about this topic is important due to the potential sensitive information circulated. This main objective of this thesis is to demonstrate what types of information are stored on infotainment systems, how it can be acquired and the implications and contributions of the collected data in relation to the overall field of digital forensics.en
dc.description.sponsorshipUniversity of Ontario Institute of Technologyen
dc.identifier.urihttps://hdl.handle.net/10155/821
dc.language.isoenen
dc.subjectDigital forensicsen
dc.subjectInternal vehicle componentsen
dc.subjectEmbedded devicesen
dc.subjectInfotainment systemsen
dc.subjectVehicular forensicsen
dc.titleVehicular infotainment forensics: collecting data and putting it into perspectiveen
dc.typeThesisen
thesis.degree.disciplineComputer Science
thesis.degree.grantorUniversity of Ontario Institute of Technology
thesis.degree.nameMaster of Science (MSc)

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