Research and practice of browser electronic data forensics based on SVM

Zhaoxu Wu; Haibo Luo; Haomin Pang; Biwu Yi

doi:10.1117/12.2641529

4 August 2022 Research and practice of browser electronic data forensics based on SVM

Zhaoxu Wu, Haibo Luo, Haomin Pang, Biwu Yi

Proceedings Volume 12306, Second International Conference on Digital Signal and Computer Communications (DSCC 2022); 123061R (2022) https://doi.org/10.1117/12.2641529
Event: Second International Conference on Digital Signal and Computer Communications (DSCC 2022), 2022, Changchun, China

Abstract

Firstly, this paper introduces the background and significance of browser automatic forensics, and analyzes the current situation and development trend of browser forensics at home and abroad. Cutting into the automatic analysis of browser history, bag-of-words model and TF-IDF model are established as feature extraction, and naive Bayes, support vector machine and convolutional neural network are used as classification algorithm models. A simulation experiment is carried out in the browser history file data, and through the analysis and comparison of the results, a better combination result is obtained from multiple feature extraction and classification algorithms.

Citation Download Citation

Zhaoxu Wu, Haibo Luo, Haomin Pang, and Biwu Yi "Research and practice of browser electronic data forensics based on SVM", Proc. SPIE 12306, Second International Conference on Digital Signal and Computer Communications (DSCC 2022), 123061R (4 August 2022); https://doi.org/10.1117/12.2641529

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