• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권1호
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• pp.221-239
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• 2020

In this paper, a visualization digital forensics tool, called JumpList Analyzer, is implemented. The tool can analyze the complicated Jump Lists files, and then the results are demonstrated by visualization. To compare the proposed tool with the other Jump Lists tools, the proposed tool is the only one can display the analyzed results by visualization. The visualization will help the investigators more easily to find the evidence than the other tools showing the analyzed results by texts only. In the experiment, the proposed JumpList Analyzer is demonstrated its convenience at identifying artifacts for doing digital forensics in a financial fraud case. In addition, the proposed tool can also be used to reveal the computer user's behavior or background.