Towards Fully Automated Digital Alibis with Social Interaction

نویسندگان

  • Stefanie Beyer
  • Martin Mulazzani
  • Sebastian Schrittwieser
  • Markus Huber
  • Edgar R. Weippl
چکیده

Digital traces found on local hard drives as a result of online activities have become very valuable in reconstructing events in digital forensic investigations. This paper demonstrates that forged alibis can be created for online activities and social interactions. In particular, a novel, automated framework is presented that uses social interactions to create false digital alibis. The framework simulates user activity and supports communications via email as well as instant messaging using a chatbot. The framework is evaluated by extracting forensic artifacts and comparing them with the results obtained from a human user study.

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تاریخ انتشار 2014