{"title":"IDSX: A Cluster Based Collaborative Intrusion Detection Algorithm for Mobile Ad-Hoc Network","authors":"R. Chaki, N. Chaki","doi":"10.1109/CISIM.2007.38","DOIUrl":null,"url":null,"abstract":"Ad hoc mobile networks (MANET) vary greatly depending on their application area and environment in which they work. We have presented a brief review of the state of the art security scenario for MANETs and also pinpointed some of the loopholes of the existing intrusion detection systems (IDS) before we proposed a new collaborative algorithm called IDSX. The proposed IDSX offers an extended architecture and is compatible with heterogeneous IDS already deployed in the participating nodes. While maintaining a high level of intrusion detection, the proposed solution virtually eliminates the problem of phantom intrusion detection to a great extent by aggregating the locally generated alerts to keep or discard a suspected intruder in a two step process.","PeriodicalId":350490,"journal":{"name":"6th International Conference on Computer Information Systems and Industrial Management Applications (CISIM'07)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"47","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"6th International Conference on Computer Information Systems and Industrial Management Applications (CISIM'07)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISIM.2007.38","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 47
Abstract
Ad hoc mobile networks (MANET) vary greatly depending on their application area and environment in which they work. We have presented a brief review of the state of the art security scenario for MANETs and also pinpointed some of the loopholes of the existing intrusion detection systems (IDS) before we proposed a new collaborative algorithm called IDSX. The proposed IDSX offers an extended architecture and is compatible with heterogeneous IDS already deployed in the participating nodes. While maintaining a high level of intrusion detection, the proposed solution virtually eliminates the problem of phantom intrusion detection to a great extent by aggregating the locally generated alerts to keep or discard a suspected intruder in a two step process.