Research On Malicious Beacon Nodes-based Detection WSN Security Localization Technology

WSN is a new network which is developed on the basis of computer technology,wireless communication technology, modern sensor technology, embedded technology andintelligent systems technology. It has been more widely used in the intelligent homefurnishing, intelligent medical, military reconnaissance, intelligent transportation and otherfields.Wireless sensor network is usually composed of many tiny sensor nodes within acertain range and is self-organized formation, many applications are dependent on thelocation information of sensor nodes. Node localization technology is one of the keytechnologies and plays a supporting role to other technologies. WSN is often deployed inbad or even hostile environment.The nodes are vulnerable to a variety of external andinternal attacks against positioning system.Thus it leads to the incorrect positioning of thenode, and even some problems such as the failure of network monitoring data and networkcollapse. Because of the larger the dangers of internal attack, the research how to againstinternal attack is a very meaningful topic.Against internal attack need to detect the malicious nodes in wireless sensor networks.However, the current security positioning technology still has some problems,such as therelatively single ability of resisting attacks,the low of malicious nodes detection rate, theinsufficient of resisting collusion attack.To solve multiple independent attacks andcollusion attacks network nodes in wireless sensor network based on reputationmechanism,some research work have been carried out:This article describes a low-power security localization algorithm which is based ondistributed reputation evaluation.The concepts of trustworthy node table (TNT) and thebackup cluster head node were introduced to find the reliable beacon nodequickly,improved the efficiency and security of the node localization.Based on this, BScollusion attack group and its detection mechanism-BSCD were proposed.The mechanismthrough analysising the evaluation behavior similarity between nodes, detecting thepresence of collusion attack group in a effective way, reducing the damage and impacts onthe system. Simulation results show that in malicious node environment, the algorithm caneffectively improve the detection rate of malicious nodes, reduce the positioning error,weaken the malicious nodes’ damage and influence for positioning system to achieve thesafe positioning of the nodes. In this paper, the improved algorithm can effectively detect the hostility nodes in thenetwork, timely against attacks of hostility nodes, and provide a certain node localizationsecurity for the WSN.