Research Article
Construct Forensic Evidence Networks from Information Fragments
2 downloads
@INPROCEEDINGS{10.1007/978-3-030-89814-4_51, author={Zhouzhou Li and Xiaoming Liu and Mario Alberto Garcia and Charles D. McAllister}, title={Construct Forensic Evidence Networks from Information Fragments}, proceedings={Mobile Multimedia Communications. 14th EAI International Conference, Mobimedia 2021, Virtual Event, July 23-25, 2021, Proceedings}, proceedings_a={MOBIMEDIA}, year={2021}, month={11}, keywords={Digital forensics Network model Path cost Correlation coefficient}, doi={10.1007/978-3-030-89814-4_51} }- Zhouzhou Li
Xiaoming Liu
Mario Alberto Garcia
Charles D. McAllister
Year: 2021
Construct Forensic Evidence Networks from Information Fragments
MOBIMEDIA
Springer
DOI: 10.1007/978-3-030-89814-4_51
Abstract
The advancement of modern technologies led to many challenges for digital forensic investigators, who now need to know every fragmentary, trivial, and isolated digital information to stitch an overall, solid evidence picture for each case. While the reality is they lack a mature model to help them accomplish their high-demanded works (such as data collection, protection, retrieval, recovery, analytic, archive). In this paper, we introduce a new concept, “Evidence Networks”, and propose to build solid evidence networks from information pieces by reusing the existing successful network models. Additionally, the jigsaw puzzle model is used to analyze the practical problems that an evidence network may encounter.
Copyright © 2021–2025 ICST
