Test data for anomaly detection in the electricity infrastructure

John Bigham, David Gamez, Xuan Jin and Chris Phillips

International Journal of Critical Infrastructures, 2006, vol. 2, issue 4, 396-411

Abstract: This paper describes a large set of electricity data for the IEEE 24 bus system generated on a test bed that copies the cyber layer of the electricity infrastructure in some detail. This data has been filtered and corrupted with natural noise and a realistic set of failure-induced and attack-induced corruptions. One of the main applications of this data is the development of novel anomaly-detecting techniques, which could play a vital role in the identification and repair of problems in the cyber layer of the electricity infrastructure. To encourage work in this area, this data is made freely available online.

Keywords: electricity data; critical infrastructure protection; electric power systems; critical infrastructure vulnerabilities; anomaly detection; state estimation; SCADA; artificial ants; invariants; artificial immune systems; electricity infrastructure. (search for similar items in EconPapers)
Date: 2006
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