Research On Network Attack Detection In Wireless Sensor Networks

Wireless sensor network(WSN)is a network composed of several sensor nodes,which has the characteristics of self-organization,multi-hop,limited energy and storage resources.The application of WSN is becoming more and more widespread,so the security issues of WSN have gradually attracted researchers' attention.Attacks against WSN include internal attacks and external attacks.Traditional encryption technology can only resist external attacks.An attacker launches an attack by capturing and cracking a normal node to turn it into a malicious node.This type of attack is internal attack,and it is difficult to detect.This thesis analyzes the characteristics of various network attacks,and focuses on the selective forwarding attack one of the most difficult to detect in attacks.The full text works as follows:1.By summarizing the existing research results,it is analyzed that the security scheme against internal attacks should have the following characteristics: 1).The scheme can detect malicious nodes;2).Avoid normal nodes being misjudged as malicious nodes;3).Minimize the complexity of operations in ordinary sensor nodes;4).Avoid the excessive energy consumption caused by attack detection,resulting in a significant reduction in network lifetime.Based on these,the design of the selective forwarding attack detection is carried out in this thesis.2.This thesis proposes a selective forwarding attack detection scheme based on data clustering algorithms(DCA-SF)combined with other detection mechanisms such as watchdog and monitoring node detection.By studying the characteristics and complexity of various clustering algorithms,a selective forwarding attack detection scheme based on the density clustering algorithm DBSCAN was finally proposed.And the DBSCAN algorithm was improved to make it suitable for WSN selective forwarding attack detection.3.According to the characteristics of cluster-based WSN,a DCA-SF scheme suitable for cluster-based WSN is designed.Event-driven WSN is more widely used WSN,but there is little research on selective forwarding attack detection for event-driven WSN.Based on the DCA-SF scheme of cluster-based WSN,the improved DCA-SF can detect selective forwarding attack of event-driven WSN.4.Perform the network operation simulation on MATLAB,and count the missed detection rate,false detection rate,and network lifetime.According to the simulation results,different parameter setting methods of detection scheme are proposed according to the different needs of users.And,take a compromise parameter to compare with other schemes or analyze the detection performance.5.Simulation results show that 1)T This scheme can reduce the missed detection rate and false detection rate in WSN selective forwarding attack detection;2)Through mathematical analysis or simulation experiments,we know that the detection scheme does not significantly reduce the network life.