{"title":"无线传感器网络安全地理路由的自适应信任模型","authors":"P. Raghuvamsi, K. Kant","doi":"10.1109/IC3.2014.6897206","DOIUrl":null,"url":null,"abstract":"Adaptive Trust Model (ATM) for secure geographic routing has been presented in this paper. Unlike conventional weight based trust models, ATM adjusts the weights associated with the network activities. In this model, direct trust has been considered to restrict the reputation based attacks. Due to the flexibility of weights adjustment, ATM dynamically identifies malicious nodes and directs the route towards trustworthy nodes. This ATM has been integrated into Greedy Perimeter Stateless Routing (GPSR) protocol. Simulation results using the network simulator ns-2 have shown that GPSR with ATM is robust in detecting malicious nodes.","PeriodicalId":444918,"journal":{"name":"2014 Seventh International Conference on Contemporary Computing (IC3)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Adaptive Trust Model for secure geographic routing in Wireless Sensor Networks\",\"authors\":\"P. Raghuvamsi, K. Kant\",\"doi\":\"10.1109/IC3.2014.6897206\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Adaptive Trust Model (ATM) for secure geographic routing has been presented in this paper. Unlike conventional weight based trust models, ATM adjusts the weights associated with the network activities. In this model, direct trust has been considered to restrict the reputation based attacks. Due to the flexibility of weights adjustment, ATM dynamically identifies malicious nodes and directs the route towards trustworthy nodes. This ATM has been integrated into Greedy Perimeter Stateless Routing (GPSR) protocol. Simulation results using the network simulator ns-2 have shown that GPSR with ATM is robust in detecting malicious nodes.\",\"PeriodicalId\":444918,\"journal\":{\"name\":\"2014 Seventh International Conference on Contemporary Computing (IC3)\",\"volume\":\"68 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 Seventh International Conference on Contemporary Computing (IC3)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IC3.2014.6897206\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Seventh International Conference on Contemporary Computing (IC3)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC3.2014.6897206","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive Trust Model for secure geographic routing in Wireless Sensor Networks
Adaptive Trust Model (ATM) for secure geographic routing has been presented in this paper. Unlike conventional weight based trust models, ATM adjusts the weights associated with the network activities. In this model, direct trust has been considered to restrict the reputation based attacks. Due to the flexibility of weights adjustment, ATM dynamically identifies malicious nodes and directs the route towards trustworthy nodes. This ATM has been integrated into Greedy Perimeter Stateless Routing (GPSR) protocol. Simulation results using the network simulator ns-2 have shown that GPSR with ATM is robust in detecting malicious nodes.
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