Intrusion detection system for smart meters

Hussain Almakrami
{"title":"Intrusion detection system for smart meters","authors":"Hussain Almakrami","doi":"10.1109/SASG.2016.7849674","DOIUrl":null,"url":null,"abstract":"Smart meters allow data acquisition from the customers to be conducted frequently and enable customer participation through various demand side response mechanisms. With support of information and communications technology, smart meters can be controlled and monitored remotely over the wireless broadband public network. Therefore, smart meters are vulnerable to cyber attacks due to connectivity and communication through the open space. In the worst case, intrusions into multiple meters can lead to severe cascading events, causing catastrophic dysfunction and wrong data generated by the meter. In this paper, an Intrusion Detection System (IDS) is proposed which contains host-based and network-based anomaly detection systems for the smart grid. The host-based anomaly detection considers temporal anomalies in the grid facilities, e.g., user-interfaces, access point to smart meters. The malicious behaviors of multicast messages, e.g., Sampled Measured Value (SMV), are incorporated in the proposed network-based anomaly detection. The proposed simultaneous intrusion detection method is able to identify the same type of attacks at multiple devices and their locations. The result is a new integrated tool for detection and mitigation of cyber intrusions at a single meter or multiple meters of a power grid.","PeriodicalId":343189,"journal":{"name":"2016 Saudi Arabia Smart Grid (SASG)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Saudi Arabia Smart Grid (SASG)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SASG.2016.7849674","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

Smart meters allow data acquisition from the customers to be conducted frequently and enable customer participation through various demand side response mechanisms. With support of information and communications technology, smart meters can be controlled and monitored remotely over the wireless broadband public network. Therefore, smart meters are vulnerable to cyber attacks due to connectivity and communication through the open space. In the worst case, intrusions into multiple meters can lead to severe cascading events, causing catastrophic dysfunction and wrong data generated by the meter. In this paper, an Intrusion Detection System (IDS) is proposed which contains host-based and network-based anomaly detection systems for the smart grid. The host-based anomaly detection considers temporal anomalies in the grid facilities, e.g., user-interfaces, access point to smart meters. The malicious behaviors of multicast messages, e.g., Sampled Measured Value (SMV), are incorporated in the proposed network-based anomaly detection. The proposed simultaneous intrusion detection method is able to identify the same type of attacks at multiple devices and their locations. The result is a new integrated tool for detection and mitigation of cyber intrusions at a single meter or multiple meters of a power grid.
智能电表入侵检测系统
智能电表可以频繁地从客户处获取数据,并使客户能够通过各种需求侧响应机制参与其中。在资讯及通讯科技的支援下,智能电表可透过无线宽频公共网络进行远端控制及监控。因此,智能电表通过开放空间进行连接和通信,容易受到网络攻击。在最坏的情况下,入侵多个仪表可能导致严重的级联事件,导致灾难性的功能障碍和仪表生成的错误数据。本文提出了一种智能电网入侵检测系统(IDS),它包括基于主机和基于网络的异常检测系统。基于主机的异常检测考虑电网设施中的时间异常,例如,用户界面,智能电表的接入点。将组播消息的恶意行为,如采样测量值(SMV),纳入到基于网络的异常检测中。提出的同时入侵检测方法能够在多个设备及其位置识别相同类型的攻击。其结果是一种新的集成工具,用于检测和减轻电网单米或多米的网络入侵。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信