{"title":"Intrusion detection system for detecting rogue nodes in vehicular ad-hoc network","authors":"S. Sangve, R. Bhati, V. Gavali","doi":"10.1109/ICDMAI.2017.8073497","DOIUrl":null,"url":null,"abstract":"Intrusion Detection System (IDS) for vehicular ad-hoc networks (VANETs) is proposed to detect the false information reporting is done by the rogue nodes in the network using anomaly based detection approach. To evaluate the system, Road Side Unit (RSU) is implemented within the communication ranges so that the entire test geographic region is covered. With this every node, which is calculating the global parameter flow will get meta-information from RSUs in whose communication range remains the node. Hence, the anonymity of the location of the vehicle can be assured. Rogue nodes are introduced in the system and IDS is used to detect these rogue nodes.","PeriodicalId":368507,"journal":{"name":"2017 International Conference on Data Management, Analytics and Innovation (ICDMAI)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Data Management, Analytics and Innovation (ICDMAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDMAI.2017.8073497","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Intrusion Detection System (IDS) for vehicular ad-hoc networks (VANETs) is proposed to detect the false information reporting is done by the rogue nodes in the network using anomaly based detection approach. To evaluate the system, Road Side Unit (RSU) is implemented within the communication ranges so that the entire test geographic region is covered. With this every node, which is calculating the global parameter flow will get meta-information from RSUs in whose communication range remains the node. Hence, the anonymity of the location of the vehicle can be assured. Rogue nodes are introduced in the system and IDS is used to detect these rogue nodes.
提出了一种基于异常检测的车载自组织网络入侵检测系统(IDS),用于检测网络中非法节点的虚假信息报告。为了评估该系统,在通信范围内实施了Road Side Unit (RSU),以便覆盖整个测试地理区域。这样,计算全局参数流的每个节点将从通信范围保持该节点的rsu获得元信息。因此,车辆位置的匿名性可以得到保证。系统中引入了非法节点,使用IDS对这些非法节点进行检测。