Research on intelligent botnet defense and analysis technology based on dynamic adversarial models

Ying Ling; Fuchuan Tang; Xin Li; Dongmei Bin; Chunyan Yang

doi:10.1117/12.3031979

8 June 2024 Research on intelligent botnet defense and analysis technology based on dynamic adversarial models

Ying Ling, Fuchuan Tang, Xin Li, Dongmei Bin, Chunyan Yang

Proceedings Volume 13171, Third International Conference on Algorithms, Microchips, and Network Applications (AMNA 2024); 1317127 (2024) https://doi.org/10.1117/12.3031979
Event: 3rd International Conference on Algorithms, Microchips and Network Applications (AMNA 2024), 2024, Jinan, China

Abstract

This paper proposes a high-confrontation botnet theoretical model from the attacker's point of view, which is based on the terminal-aware strategy, improves the network's anti-analysis, anti-pollution, and anti-infiltration capabilities, and based on this, further enhances the network's robustness and destructive resistance through the self-organization and reconstruction mechanism. It is of great practical significance to discuss its possible defense strategies and propose effective defense measures before attackers for this kind of potential new highly adversarial botnets.

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

Citation Download Citation

Ying Ling, Fuchuan Tang, Xin Li, Dongmei Bin, and Chunyan Yang "Research on intelligent botnet defense and analysis technology based on dynamic adversarial models", Proc. SPIE 13171, Third International Conference on Algorithms, Microchips, and Network Applications (AMNA 2024), 1317127 (8 June 2024); https://doi.org/10.1117/12.3031979

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