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- W2902822323 abstract "Evidence is reliable data for providing related event information for forensic analysis. Through the analysis and inference of the evidence, we can understand the process of the attack and the consequences. The collection and acquisition of multi-source evidence is the first step in forensic analysis. In this paper, we introduced two different methods of collecting evidence data, namely active evidence collection and passive evidence collection. We also designed an evidence collection evidence model, which includes the selection of different evidence collection agent. According to different functions and performance characteristics, it collects various kinds of evidence information from different sources. The efficient deployment method of the collector using Saltstack is also given. The proposed evidence collection agent model can collect all kinds of data information in the internal system quickly and efficiently, and has good scalability. It can be easily deployed in large-scale network environment and used in big data forensic analysis." @default.
- W2902822323 created "2018-12-11" @default.
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- W2902822323 date "2018-11-29" @default.
- W2902822323 modified "2023-09-26" @default.
- W2902822323 title "Evidence Collection Agent Model Design for Big Data Forensic Analysis" @default.
- W2902822323 cites W1591736534 @default.
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- W2902822323 doi "https://doi.org/10.1007/978-981-13-1328-8_83" @default.
- W2902822323 hasPublicationYear "2018" @default.
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