Visible to the public Moving Target Defense Intrusion Detection System for IPv6 based smart grid advanced metering infrastructure

TitleMoving Target Defense Intrusion Detection System for IPv6 based smart grid advanced metering infrastructure
Publication TypeConference Paper
Year of Publication2017
AuthorsChatfield, B., Haddad, R. J.
Conference NameSoutheastCon 2017
KeywordsCollaboration, composability, Difference Plane, Intrusion detection, Intrusion Detection Systems, IP networks, ipv6 security, MATLAB, Metrics, moving target defense, moving target defense intrusion detection system, network traffic, object detection, Planar Key, Ports (Computers), power system measurement, pubcrawl, Resiliency, Routing, security of data, Smart grid, smart grid advanced metering infrastructure, smart grid communications, smart grid IPv6 based advanced metering infrastructure, Smart grids, smart meters, smart power grids, static based attack detection techniques, Training
Abstract

Conventional intrusion detection systems for smart grid communications rely heavily on static based attack detection techniques. In essence, signatures created from historical data are compared to incoming network traffic to identify abnormalities. In the case of attacks where no historical data exists, static based approaches become ineffective thus relinquishing system resilience and stability. Moving target defense (MTD) has shown to be effective in discouraging attackers by introducing system entropy to increase exploit costs. Increase in exploit cost leads to a decrease in profitability for an attacker. In this paper, a Moving Target Defense Intrusion Detection System (MTDIDS) is proposed for smart grid IPv6 based advanced metering infrastructure. The advantage of MTDIDS is the ability to detect anomalies across moving targets by means of planar keys thereupon increasing detection rate. Evaluation of MTDIDS was carried out in a smart grid advanced metering infrastructure simulated in MATLAB.

URLhttp://ieeexplore.ieee.org/document/7925307/?reload=true
DOI10.1109/SECON.2017.7925307
Citation Keychatfield_moving_2017