基于动态对抗模型的僵尸网络智能防御与分析技术研究

Ying Ling, Fuchuan Tang, Xin Li, Dong Bin, Chunyan Yang
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摘要

本文从攻击者的角度出发,提出了一种高对抗僵尸网络理论模型,该模型基于终端感知策略,提高了网络的抗分析、抗污染和抗渗透能力,并在此基础上通过自组织和重构机制进一步增强了网络的鲁棒性和抗破坏性。针对这种潜在的新型高对抗性僵尸网络,探讨其可能的防御策略并提出有效的防御措施,具有重要的现实意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on intelligent botnet defense and analysis technology based on dynamic adversarial models
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.
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