DocumentCode :
104493
Title :
A Framework for Evaluating Intrusion Detection Architectures in Advanced Metering Infrastructures
Author :
Cardenas, Alvaro A. ; Berthier, Robin ; Bobba, Rakesh B. ; Huh, Jun Ho ; Jetcheva, Jorjeta G. ; Grochocki, David ; Sanders, William H.
Author_Institution :
Univ. of Texas at Dallas, Richardson, TX, USA
Volume :
5
Issue :
2
fYear :
2014
fDate :
Mar-14
Firstpage :
906
Lastpage :
915
Abstract :
The scale and complexity of Advanced Metering Infrastructure (AMI) networks requires careful planning for the deployment of security solutions. In particular, the large number of AMI devices and the volume and diversity of communication expected to take place on the various AMI networks make the role of intrusion detection systems (IDSes) critical. Understanding the trade-offs for a scalable and comprehensive IDS is key to investing in the right technology and deploying sensors at optimal locations. This paper reviews the benefits and costs associated with different IDS deployment options, including either centralized or distributed solution. A general cost-model framework is proposed to help utilities (AMI asset owners) make more informed decisions when selecting IDS deployment architectures and managing their security investments. We illustrate how the framework can be applied through case studies, and highlight the interesting cost/benefit trade-offs that emerge.
Keywords :
costing; metering; power grids; power meters; power system economics; power system planning; power system security; safety systems; AMI network; IDS deployment option; advanced metering infrastructure network; cost-benefit trade-off; general cost-model framework; intrusion detection architecture; planning; power grid; security solution; Intelligent sensors; Intrusion detection; Monitoring; Peer-to-peer computing; Wireless sensor networks; AMI; architecture; intrusion detection; threat model;
fLanguage :
English
Journal_Title :
Smart Grid, IEEE Transactions on
Publisher :
ieee
ISSN :
1949-3053
Type :
jour
DOI :
10.1109/TSG.2013.2291004
Filename :
6740891
Link To Document :
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