Sensitivity analysis of a Bayesian network for reasoning about digital forensic evidence

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. © 2010 IEEE.published_or_final_versio

A cost-effective digital forensic investigation model

Computers operate at discrete points in time and hence digital traces are discrete events in temporal logic that re°ect the occurrence of computer processes. From the perspective of a digital investigation, it is the duty of digital investigators or forensic examiners to retrieve digital traces so as to prove or to refute the alleged computer acts. Given the resource constraints of most organizations and the limited time-frame available for the examination, it is not always feasible or indeed necessary for forensic examiners to retrieve all the related digital traces and to conduct a thorough digital forensic analysis. It is therefore the aim of this paper to propose a model that can o®er swift and practical digital examination in a cost-effective manner.postprin

Cyber Insurance

This volume covers a wide spectrum of issues relating to economic and political development enabled by information and communication technology (ICT)