摘要
Wireless Mesh Networks （WMNs） have many applications in homes, schools, enterprises, and public places because of their useful characteristics, such as high bandwidth, high speed, and wide coverage. However, the security of wireless mesh networks is a precondition for practical use. Intrusion detection is pivotal for increasing network security. Considering the energy limitations in wireless mesh networks, we adopt two types of nodes： Heavy Intrusion Detection Node （HIDN） and Light Intrusion Detection Node （LIDN）. To conserve energy, the LIDN detects abnorrml behavior according to probability, while the HIDN, which has sufficient energy, is always operational. In practice, it is very difficult to acquire accurate information regarding attackers. We propose an intrusion detection model based on the incomplete inforrmtion game （ID-IIG）. The ID-IIG utilizes the Harsanyi transformation and Bayesian Nash equilibrium to select the best strategies of defenders, although the exact attack probability is unknown. Thus, it can effectively direct the deployment of defenders. Through experiments, we analyze the perforrmnce of ID-IIG and verify the existence and attainability of the Bayesian Nash equilibrium.
Wireless Mesh Networks (WMNs) have many applications in homes, schools, enterprises, and public places because of their useful characteristics, such as high bandwidth, high speed, and wide coverage. However, the security of wireless mesh networks is a precondition for practical use. Intrusion detection is pivotal for increasing network security. Considering the energy limitations in wireless mesh networks, we adopt two types of nodes: Heavy Intrusion Detection Node (HIDN) and Light Intrusion Detection Node (LIDN). To conserve energy, the LIDN detects abnormal behavior according to probability, while the HIDN, which has sufficient energy, is always operational. In practice, it is very difficult to acquire accurate information regarding attackers. We propose an intrusion detection model based on the incomplete information game (ID-IIG). The ID-IIG utilizes the Harsanyi transformation and Bayesian Nash equilibrium to select the best strategies of defenders, although the exact attack probability is unknown. Thus, it can effectively direct the deployment of defenders. Through experiments, we analyze the performance of ID-IIG and verify the existence and attainability of the Bayesian Nash equilibrium.
基金
This work was partially supported by the National Natural Science Foundation of China under Cxants No. 61272451, No. 61103220, No. 61173154, No. 61173175
the National Critical Patented Projects in the next generation broadband wireless mobile communication network under Grant No. 2010ZX03006-001-01.
作者简介
Chen .Frog, received his Ph.D. degree from Huazhong University of Science and Technology, Wuhan, China. He is an associate professor at Wuhan University, China. His research interests include network security and wireless network.Du Ruiying, received his Ph.D. degree from Wuhan University, China. She is a professor at Wu- hart University. Her research interests include network security and wireless network.Yu Fajiang, received his Ph.D. degree from Wuhan University, China. He is a lecturer at Wuhan University. HIS research interests include information security and trust corrputing. The corresponding author. Email： qshxyu@126.comZheng Minghui, received his Ph.D. degree from Huazhong University of Science and Technology, Wuhan, China. He is a professor at Hubei University for Nationalities, China. His research interests include network security.Zhang Huanguo, is a professor at Wuhan University, China. His research interests include information security and trust computing.
