Visualizing and Reasoning about Presentable Digital Forensic Evidence with Knowledge Graphs


연구 분야: Analysis



학회: 2022 19th Annual International Conference on Privacy, Security & Trust (PST)


초록

Making digital evidence presentable is hard due to the intangible and complex nature of digital evidence and the variety of targeted audiences. In this paper, we present Digital Forensic Knowledge Graph (DFKG) for visualizing and reasoning about digital forensic evidence. We first describe the criteria of presentable evidence to ensure authenticity, integrity, validity, credibility, and relevance of evidence. Then we specify DFKG to capture presentable forensic evidence from three perspectives: (1) the background of a criminal case, (2) the reconstructed timeline of a criminal case, and (3) the verifiable digital evidence related to the criminal activity timeline. We also present a case study to illustrate the DFKG-based approach.


Author Profile
Weifeng Xu

School of Criminal Justice University of Baltimore) Baltimore USA

United States
Author Profile
Dianxiang Xu

School of Computing and Engineering University of Missouri-Kansas City Kansas City USA

Andorra

📄 논문 정보

발행 연도 2022년
인용수 7
출판 국가 Andorra, United States
사이트 IEEE
좋아요 수 0

연관 논문 목록 (137건)