大数据时代基于攻防博弈模型的网络安全评估与最优主动防御研究

Xin Ge
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引用次数: 1

摘要

由于社会主义现代化建设的日益推进和社会生产力的日益进步,国民计算机产业近年来发展迅速,已成为推动中国经济发展的主要动力。面对日益复杂的网络环境,传统的网络安全技术已不能有效抵御现有的网络攻击。传统网络信息安全评估的两大缺点是防御能力低、内存消耗大。从本质上讲,网络安全是网络攻击者和网络防御者相互博弈的过程。在相互博弈的过程中,如果一方受益,那就是赢家。为了对网络信息系统进行安全评估和主动防御,提出了网络防御图模型、攻击防御策略分类及其成本量化方法、网络攻击防御博弈模型以及基于该模型的最优主动防御选择算法。基于攻防博弈理论,通过建立模型,分析了网络安全评估和最优主动防御方法
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 Network Security Evaluation and Optimal Active Defense based on Attack and Defense Game Model in Big Data Era
Due to the increasing progress of socialist modernization and the increasing progress of social productivity, the national computer industry has developed rapidly in recent years, and has become the main driving force to promote China's economic development. Facing the increasingly complex network environment, the traditional network security technology can not effectively resist the existing network attacks. Low defense and high memory consumption are two disadvantages of traditional network information security assessment. In essence, network security is the process of mutual game between network attackers and network defenders. In the process of mutual game, if one party benefits, it is the winner. In order to carry out the security evaluation and active defense of network information system, the network defense graph model, the classification of attack and defense strategies and their cost quantification method, the network attack and defense game model and the optimal active defense selection algorithm based on the above model are proposed. Based on the attack and defense game theory, this paper analyzes the network security evaluation and optimal active defense methods by establishing a model
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