Digital evidence evaluation system based on computer system environment analysis

In cybercrime, the evaluation results of the weight of digital evidence are directly influencing the cognizance of the relevant case, further influencing the judgment of the case. Now, it lacks a universally accepted standard to evaluate the weight of digital evidence. Furthermore, the result of the evaluation will be easily influenced by experts. A system, which is based on Naive Bayesian Classification, of digital evidence evaluation is put forward in this paper. It can help normalize the evaluation process effectively and automatically, avoid manual intervention, and then provide reliable evaluation results for the judge´s judgment.