空間信息網蟲洞攻擊檢測算法研究與仿真
[Abstract]:Spatial information network is a kind of comprehensive heterogeneous network, which has a wide application field and has very important strategic significance. However, due to the diversity of nodes and their exposure to space environment, as well as the use of wireless communication methods, they are vulnerable to a wide variety of attacks. Among them, wormhole attack is a serious attack against routing protocol, which can be divided into two types: explicit and implicit according to the expression of the attacker. The particularity of wormhole attack is easy to launch, difficult to detect and serious harm. Therefore, the research of space information network wormhole attack detection algorithm is of great significance. In this paper, a new algorithm for detecting wormhole attack in spatial information network is proposed, which combines delay and topology anomaly. The algorithm is divided into three stages: trigger, detection and response. In the process of routing discovery or neighbor building, nodes trigger the detection of wormhole attacks by discovering suspicious links with round-trip delay anomalies, which include detecting suspicious neighbors, judging malicious nodes and finding abnormal topology. The node first detects one hop suspicious neighbor and two hop suspicious neighbor by round trip delay, and then further confirms that the node determines whether the network is under explicit wormhole attack according to the existence of the same one hop neighbor between the two neighbor nodes. According to the number of nodes with non-hop neighbors in the intersection of two two-hop neighbors and whether there are identical one-hop real neighbors between the two neighbor nodes, the network is judged whether the network is under implicit wormhole attack. According to the virtual topology and the condition of establishing the intersatellite link, the satellite backbone network is judged whether it is attacked by wormhole, and in the response stage, the pseudo-neighbor nodes or malicious nodes are isolated by sending warning messages to ensure the security of the network. In this paper, NS2 network simulation software is used to simulate the proposed algorithm, and the performance of the detection algorithm is analyzed. The results show that the algorithm can detect two types of wormhole attacks, and has a higher detection rate and a lower misjudgment rate for both types of wormhole attacks.
【學位授予單位】:東北大學
【學位級別】:碩士
【學位授予年份】:2014
【分類號】:TN927
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