Abdelaziz Amara Korba, Mehdi Nafaa, Y. Ghamri-Doudane
{"title":"Anomaly-based intrusion detection system for ad hoc networks","authors":"Abdelaziz Amara Korba, Mehdi Nafaa, Y. Ghamri-Doudane","doi":"10.1109/NOF.2016.7810132","DOIUrl":null,"url":null,"abstract":"In this paper we propose a new protection mechanism to secure routing in ad hoc networks. Wormhole and rushing attacks are very difficult to detect and can drastically degrade the network performance if they are combined with other attacks. Therefore, we propose an anomaly-based intrusion detection system to detect and prevent these attacks. The proposed mechanism uses a statistical approach that keeps track of node's route selection rate to identify and isolate malicious nodes from the network. The simulation results show that the proposed mechanism exhibits high detection rate.","PeriodicalId":208097,"journal":{"name":"2016 7th International Conference on the Network of the Future (NOF)","volume":"347 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 7th International Conference on the Network of the Future (NOF)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NOF.2016.7810132","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
In this paper we propose a new protection mechanism to secure routing in ad hoc networks. Wormhole and rushing attacks are very difficult to detect and can drastically degrade the network performance if they are combined with other attacks. Therefore, we propose an anomaly-based intrusion detection system to detect and prevent these attacks. The proposed mechanism uses a statistical approach that keeps track of node's route selection rate to identify and isolate malicious nodes from the network. The simulation results show that the proposed mechanism exhibits high detection rate.