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Title:Determining cost-effective intrusion detection approaches for an advanced metering infrastructure deployment using advise
Author(s):Rausch, Michael J.
Advisor(s):Sanders, William H
Department / Program:Computer Science
Discipline:Computer Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:M.S.
Genre:Thesis
Subject(s):Adversary view security evaluation (ADVISE)
Advanced metering infrastructure (AMI)
Model
Intrusion detection system (IDS)
Abstract:Utilities responsible for Advanced Metering Infrastructure (AMI) networks must be able to defend themselves from a variety of potential attacks so they may achieve the goals of delivering power to consumers and maintaining the integrity of their equipment and data. Intrusion detection systems (IDSes) can play an important part in the defense of such networks. Utilities should carefully consider the strengths and weaknesses of different IDS deployment strategies to choose the most cost-effective solution. Models of adversary behavior in the presence of different IDS deployments can help with making this decision as we demonstrate through a case study that uses a model created in the ADversary VIew Security Evaluation (ADVISE) formalism (which calculates metrics used to compare different IDSes). We show how these metrics give valuable insight into the selection of the appropriate IDS architecture for an AMI network.
Issue Date:2016-12-08
Type:Thesis
URI:http://hdl.handle.net/2142/95424
Rights Information:Copyright 2016 Michael J. Rausch
Date Available in IDEALS:2017-03-01
Date Deposited:2016-12


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