Detecting Wormhole Attacks in Wireless Communication Network Based on Grid Division
A grid partitioning based method for detecting wormhole attacks in wireless communication net-work is proposed to address the high rate of missed detections in wormhole attacks.Use a data collection program to collect real-time data from wireless communication networks,filter out wormhole attack data,and supplement,filter,and normalize the wormhole attack data.Extract preprocessed data features,with the support of grid parti-tioning,determine the location of wormhole attacks,and achieve wormhole attack detection through the set fea-ture threshold.The experimental results show that the proposed grid partitioning method has a missed detection rate of only 4.5%and high detection accuracy.
grid partitioningwireless communication networknetwork attackswormhole attacksattack detection
NETL
NSTL
万方数据
