A discounted stochastic game approach to intrusion detection in wireless ad hoc networks

H. Moosavi, F. Bui
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引用次数: 1

Abstract

A non-cooperative non-zero-sum discounted stochastic game framework is considered in order to methodically formulate the intrusion detection problem in wireless ad hoc networks. Underlying game parameters and player objective functions are defined to characterize the security requirements of a wide range of wireless ad hoc network applications. The validity and effectiveness of the developed framework are verified by generating numerical instances of the game model and analyzing the equilibrium results. The game outcomes show that the proposed framework provides useful insights on: (1) the expected behavior of rational intruders; and (2) optimal strategies of the intrusion detection system to allocate its security resources in different operational modes of the network.
无线自组织网络入侵检测的贴现随机博弈方法
为了系统地描述无线自组织网络中的入侵检测问题,考虑了一个非合作非零和折现随机博弈框架。定义了基础游戏参数和玩家目标函数,以表征广泛的无线自组织网络应用的安全需求。通过生成博弈模型的数值实例和分析均衡结果,验证了所开发框架的有效性。博弈结果表明,本文提出的框架在以下方面提供了有用的见解:(1)理性入侵者的预期行为;(2)入侵检测系统在不同网络运行模式下安全资源分配的最优策略。
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