F. Anjum, Dhanant Subhadrabandhu, S. Sarkar, Rahul Shetty
{"title":"On optimal placement of intrusion detection modules in sensor networks","authors":"F. Anjum, Dhanant Subhadrabandhu, S. Sarkar, Rahul Shetty","doi":"10.1109/BROADNETS.2004.52","DOIUrl":null,"url":null,"abstract":"Sensor networks have increasingly become the subject of intense scientific interest over the past few years. In this work, we focus on intrusion detection in sensor networks. The intrusion detection community has been focusing mainly on wired networks. But techniques geared towards wire line networks would not suffice for a sensor environment because of the constraints associated with such networks. In this paper, we consider the arbitrary sized sensor networks and propose algorithms to improve the detection rates by intelligently enabling the intrusion detection functionality on particular sensor nodes. The proposed algorithms, based on the concepts of minimum cut-set and minimum dominating set, allow for a distributed implementation. The performance of the algorithms in identifying intrusions using signature based detection techniques is studied via simulations.","PeriodicalId":305639,"journal":{"name":"First International Conference on Broadband Networks","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"65","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"First International Conference on Broadband Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BROADNETS.2004.52","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 65
Abstract
Sensor networks have increasingly become the subject of intense scientific interest over the past few years. In this work, we focus on intrusion detection in sensor networks. The intrusion detection community has been focusing mainly on wired networks. But techniques geared towards wire line networks would not suffice for a sensor environment because of the constraints associated with such networks. In this paper, we consider the arbitrary sized sensor networks and propose algorithms to improve the detection rates by intelligently enabling the intrusion detection functionality on particular sensor nodes. The proposed algorithms, based on the concepts of minimum cut-set and minimum dominating set, allow for a distributed implementation. The performance of the algorithms in identifying intrusions using signature based detection techniques is studied via simulations.