Forensic Analyses Based on Predictive Coding

Cybercrime is growing rampantly around the world, which has caused huge monetary damages in recent years. One of the major difficulties in cybercrime forensic analysis is to identify relevant digital evidence from a large amount of electronic documents. Traditional methods, such as manual inspection and keyword searching, are no longer effective both in terms of time and accuracy. In order to reduce the cost, save time and improve the accuracy of forensic investigation, the paper proposed a predictive coding scheme to study and identify relevant digital evidence. The experimental results show that the predictive coding based on semantic searching is feasible, and more efficient and accurate than the keyword searching.