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A Cyber Crime Investigation Model Based on Case Characteristics
Abstract
In the early stages of the digital investigation of cyber crime, digital evidence is inadequate, decentralized and fragmented. Cyber crime investigation model based on case characteristics is presented in this paper, to help determine investigation orientation and reduce investigation area. Firstly, purifying and filtering the digital evidence collected, classification and acquirement of event sets are accomplished. Secondly, a method of imperfect induction is applied to analyze the event sets and construct one or more premises, and combining with the case characteristics extracted from the legal requirements, inference and its reliability are given. Finally, through a case analysis of network pyramid sales, the initial practice shows the model is feasible and has a consulting value with cyber crime investigation.
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