{"title":"基于集群和信誉的manet协同恶意节点检测与移除方案","authors":"Saurabh Sharma, S. Gambhir","doi":"10.1109/ISCO.2017.7856012","DOIUrl":null,"url":null,"abstract":"While mobile ad hoc networks have become a mature & globally adopted technology due to its wide range of applications. Such environment has some basic differences in comparison to wired networks. Due to these little differences the MANETs are more prone to interception and manipulation. This further opens possibilities of insecure routing. For the efficient and secure delivery of data CRCMD&R (Cluster and Reputation based cooperative malicious node Detection and Removal) scheme is proposed in this paper. CRCMD&R suggests organising the MANET into a number of clusters and each node in the network has a specific prime number which acts as Node Identity. CRCMD&R uses Legitimacy value table and Reputation level table maintained by each node in the network to find and use a safe route between a source and a destination. The cornerstones of our work are the various metrics which can be further calculated by the values collected in Legitimacy value table and Reputation level table. Depending upon these metrics the cluster head nodes exclude or include the nodes from the discovered route and select the most reliable route to a specific destination.","PeriodicalId":321113,"journal":{"name":"2017 11th International Conference on Intelligent Systems and Control (ISCO)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"CRCMD&R: Cluster and Reputation based cooperative malicious node Detection & Removal scheme in MANETs\",\"authors\":\"Saurabh Sharma, S. Gambhir\",\"doi\":\"10.1109/ISCO.2017.7856012\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"While mobile ad hoc networks have become a mature & globally adopted technology due to its wide range of applications. Such environment has some basic differences in comparison to wired networks. Due to these little differences the MANETs are more prone to interception and manipulation. This further opens possibilities of insecure routing. For the efficient and secure delivery of data CRCMD&R (Cluster and Reputation based cooperative malicious node Detection and Removal) scheme is proposed in this paper. CRCMD&R suggests organising the MANET into a number of clusters and each node in the network has a specific prime number which acts as Node Identity. CRCMD&R uses Legitimacy value table and Reputation level table maintained by each node in the network to find and use a safe route between a source and a destination. The cornerstones of our work are the various metrics which can be further calculated by the values collected in Legitimacy value table and Reputation level table. Depending upon these metrics the cluster head nodes exclude or include the nodes from the discovered route and select the most reliable route to a specific destination.\",\"PeriodicalId\":321113,\"journal\":{\"name\":\"2017 11th International Conference on Intelligent Systems and Control (ISCO)\",\"volume\":\"95 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 11th International Conference on Intelligent Systems and Control (ISCO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCO.2017.7856012\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 11th International Conference on Intelligent Systems and Control (ISCO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCO.2017.7856012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
CRCMD&R: Cluster and Reputation based cooperative malicious node Detection & Removal scheme in MANETs
While mobile ad hoc networks have become a mature & globally adopted technology due to its wide range of applications. Such environment has some basic differences in comparison to wired networks. Due to these little differences the MANETs are more prone to interception and manipulation. This further opens possibilities of insecure routing. For the efficient and secure delivery of data CRCMD&R (Cluster and Reputation based cooperative malicious node Detection and Removal) scheme is proposed in this paper. CRCMD&R suggests organising the MANET into a number of clusters and each node in the network has a specific prime number which acts as Node Identity. CRCMD&R uses Legitimacy value table and Reputation level table maintained by each node in the network to find and use a safe route between a source and a destination. The cornerstones of our work are the various metrics which can be further calculated by the values collected in Legitimacy value table and Reputation level table. Depending upon these metrics the cluster head nodes exclude or include the nodes from the discovered route and select the most reliable route to a specific destination.