Random Forest based Intrusion Detection System for AMI

S. M M, P. I. Basarkod
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引用次数: 3

Abstract

The next generation in the electricity grid develops an Advanced Metering Infrastructure (AMI) with bi-directional communication. The Internet of Things (IoT) supports AMI to collect data from smart meters and identify the energy consumption pattern of consumers. A widely applied IoT routing protocol in AMI is Routing Protocol for Low-Power and Lossy Networks (RPL). The RPL protocol plays a vital role in ensuring a timely and reliable communication service on AMI. However, several factors affect the reliability of RPL in AMI, and those factors are security, delay, and unequal energy consumption between smart meters. To solve such issues, the Random Forest based Intrusion Detection System (IDS) (RFIDS) is designed for AMI. The proposed RF-IDS takes into account the results of offline traffic analysis using RF. However, it is insufficient to improve the RPL reliability since the design of RPL based only on offline traffic analysis does not necessarily mean that the designed protocol does not perform well online. Rather, the proposed IDS exploits an offline evaluation can be a first step to decide a security measure against several routing metrics. After offline traffic analysis, the RF-IDS can perform online traffic analysis to obtain delay and energy-related metrics. The offline traffic analysis process in RF-IDS selects an important feature set of the RPL protocol and improves the performance of RF over AMI. Moreover, the RF-IDS attempts to improve AMI communication reliability using a balanced energy factor and prolong the lifetime of smart meters in AMI. The efficiency of RF-IDS over AMI in terms of security, reliability, and energy is evaluated using the Cooja simulator.
基于随机森林的AMI入侵检测系统
下一代电网将发展具有双向通信的高级计量基础设施(AMI)。物联网(IoT)支持AMI从智能电表收集数据,识别消费者的能源消耗模式。在AMI中广泛应用的物联网路由协议是低功耗和有损网络路由协议(RPL)。RPL协议在保证AMI通信服务的及时可靠方面起着至关重要的作用。然而,影响AMI中RPL可靠性的因素主要有安全性、时延和智能电表间能耗不均匀等。为解决这一问题,设计了基于随机森林的AMI入侵检测系统。提出的RF- ids考虑了使用RF进行离线流量分析的结果。然而,仅仅基于离线流量分析来设计RPL并不一定意味着设计的协议不能很好地在线运行,因此提高RPL的可靠性是不够的。相反,建议的IDS利用离线评估可以作为针对几个路由指标确定安全措施的第一步。完成离线流量分析后,可以进行在线流量分析,获取时延、能耗等相关指标。RF- ids中的离线流量分析过程选择了RPL协议的重要特征集,提高了RF over AMI的性能。此外,RF-IDS试图通过平衡能量因子来提高AMI通信可靠性,并延长AMI智能电表的使用寿命。使用Cooja模拟器评估RF-IDS在安全性、可靠性和能源方面优于AMI的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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