Due to their unique characteristics, such as the dynamic changing topology, the absence of central management, the cooperative routing mechanisms, and the resources constraints, Mobile ad hoc networks (MANETs) are rel...Due to their unique characteristics, such as the dynamic changing topology, the absence of central management, the cooperative routing mechanisms, and the resources constraints, Mobile ad hoc networks (MANETs) are relatively vulnerable to both active and passive attacks. In MANET, routing attacks try to disrupt the functions of routing protocol by intentionally or unintentionally dropping packets or propagating faked routing messages. However, due to their computation requirements, the prevention mechanisms are not powerful enough to secure MANET. In this paper, we propose a distributed and cooperative scheme using statistical methods to detect routing attacks in MANETs. Our scheme uses both direct and indirect observations to characterize the behaviors of both neighboring and remote nodes. Simple threshold and Grubb’s Test are utilized to propose our new detection methods. The scheme includes innovative methods to compute our proposed measures, Maximum Accusation Number (MAN) and Accusation Number (AN), which are used to make decision about node’s behavior. Experimental results show that our scheme performs well in detecting anomalous events in routing functions.展开更多
BGP-4路由协议的安全性对于保障整个网络安全、可靠运行具有重要意义。现有的模糊测试方法在对BGP-4协议测试时存在状态测试困难、测试用例冗余等问题。为了解决这些问题,提出了一种基于有限状态机的BGP-4协议模糊测试方法 BFuzz,设计...BGP-4路由协议的安全性对于保障整个网络安全、可靠运行具有重要意义。现有的模糊测试方法在对BGP-4协议测试时存在状态测试困难、测试用例冗余等问题。为了解决这些问题,提出了一种基于有限状态机的BGP-4协议模糊测试方法 BFuzz,设计了测试序列生成算法TSGF(Test Sequences Generation for Fuzzing)和测试用例生成算法TCGVF(Test Cases Generation based on Vulnerable Fields),实现了原型系统BFuzzer。测试结果表明该方法能够有效地挖掘BGP-4协议中的漏洞。展开更多
文摘Due to their unique characteristics, such as the dynamic changing topology, the absence of central management, the cooperative routing mechanisms, and the resources constraints, Mobile ad hoc networks (MANETs) are relatively vulnerable to both active and passive attacks. In MANET, routing attacks try to disrupt the functions of routing protocol by intentionally or unintentionally dropping packets or propagating faked routing messages. However, due to their computation requirements, the prevention mechanisms are not powerful enough to secure MANET. In this paper, we propose a distributed and cooperative scheme using statistical methods to detect routing attacks in MANETs. Our scheme uses both direct and indirect observations to characterize the behaviors of both neighboring and remote nodes. Simple threshold and Grubb’s Test are utilized to propose our new detection methods. The scheme includes innovative methods to compute our proposed measures, Maximum Accusation Number (MAN) and Accusation Number (AN), which are used to make decision about node’s behavior. Experimental results show that our scheme performs well in detecting anomalous events in routing functions.
文摘BGP-4路由协议的安全性对于保障整个网络安全、可靠运行具有重要意义。现有的模糊测试方法在对BGP-4协议测试时存在状态测试困难、测试用例冗余等问题。为了解决这些问题,提出了一种基于有限状态机的BGP-4协议模糊测试方法 BFuzz,设计了测试序列生成算法TSGF(Test Sequences Generation for Fuzzing)和测试用例生成算法TCGVF(Test Cases Generation based on Vulnerable Fields),实现了原型系统BFuzzer。测试结果表明该方法能够有效地挖掘BGP-4协议中的漏洞。
