攻防对抗视角下网络安全主动防御体系研究
Journal: Advances in Computer and Autonomous Intelligence Research DOI: 10.12238/acair.v3i2.13526
Abstract
面向日益严峻的网络攻防对抗态势,在可信数据空间中保护人工智能系统安全成为重要挑战。传统纵深防御因防御能力固化、缺乏灵活性,难以应对高级持续性威胁等动态攻击。为此,本文研究一种面向大数据基于强化学习的自主演化大模型驱动主动防御体系。首先,构建主动防御的理论建模框架,将攻防过程建模为动态博弈,并采用深度强化学习求解最优防御策略,实现防御策略的持续优化与进化。其次,设计主动防御系统架构,融合大数据分析平台,利用大模型实时感知威胁、决策防御响应,并通过标准接口集成国产软硬件基础设施。在AI系统攻击场景进行对抗性实验,训练防御智能体自动识别并挫败攻击。
Keywords
网络安全；攻防对抗；主动防御
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