Research on internet security behavior detection algorithm based on immune deep neural network

Jianwei Guo; Aibin Dai; Yiou Wang; Chuhan He; Lan Xu

doi:10.1117/12.3035090

19 July 2024 Research on internet security behavior detection algorithm based on immune deep neural network

Jianwei Guo, Aibin Dai, Yiou Wang, Chuhan He, Lan Xu

Proceedings Volume 13213, International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024); 1321335 (2024) https://doi.org/10.1117/12.3035090
Event: International Conference on Image Processing and Artificial Intelligence (ICIPAl2024), 2024, Suzhou, China

Abstract

In order to better protect sensitive data within organizations and enhance employee productivity, this study conducts analysis on recent internet browsing behavior data. Different internet browsing behaviors such as browsing duration, browsing time slots, and IP addresses are used as the dataset. A novel encoding format is proposed to establish a one-to-one correspondence between binary digits and Chinese characters. The processed data is then fed into the proposed immune deep neural network for training, aiming to develop a highly accurate model for predicting internet browsing behavior. Through experimental comparisons, the proposed algorithm demonstrates superior prediction accuracy, providing valuable insights for the scientific management of user internet behavior and offering strong support for safeguarding network data security.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jianwei Guo, Aibin Dai, Yiou Wang, Chuhan He, and Lan Xu "Research on internet security behavior detection algorithm based on immune deep neural network", Proc. SPIE 13213, International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024), 1321335 (19 July 2024); https://doi.org/10.1117/12.3035090

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