Title :
Sensitivity Analysis of a Bayesian Network for Reasoning about Digital Forensic Evidence
Author :
Overill, Richard E. ; Silomon, Jantje A M ; Kwan, Michael Y.K. ; Chow, Kam-Pui ; Law, Frank Y W ; Lai, Pierre K.Y.
Author_Institution :
Dept. of Comput. Sci., King´´s Coll. London, London, UK
Abstract :
A Bayesian network representing an actual prosecuted case of illegal file sharing over a peer-to-peer network has been subjected to a systematic and rigorous sensitivity analysis. Our results demonstrate that such networks are usefully insensitive both to the occurrence of missing evidential traces and to the choice of conditional evidential probabilities. The importance of this finding for the investigation of digital forensic hypotheses is highlighted.
Keywords :
belief networks; computer forensics; inference mechanisms; peer-to-peer computing; probability; sensitivity analysis; Bayesian network; conditional evidential probabilities; digital forensic evidence; evidential traces; illegal file sharing; peer-to-peer network; reasoning; sensitivity analysis; Bayesian methods; Cognition; Digital forensics; Internet; Publishing; Sensitivity analysis; Servers;
Conference_Titel :
Human-Centric Computing (HumanCom), 2010 3rd International Conference on
Conference_Location :
Cebu
Print_ISBN :
978-1-4244-7567-4
DOI :
10.1109/HUMANCOM.2010.5563318
