Attack and Fault Identification in Electric Power Control Systems: An Approach to Improve the Security

Autor:	Germano Lambert-Torres, Maurilio Pereira Coutinho, Horst Lazarek, J.G.B. da Silva, L.E.B. da Silva, Joaquim Gonçalves Costa Neto, E. da Costa Bortoni
Rok vydání:	2007
Předmět:	Engineering business.industry Data security Information security Fault (power engineering) computer.software_genre Set (abstract data type) Identification (information) Control system Electric power Rough set Data mining business computer
Zdroj:	2007 IEEE Lausanne Power Tech.
Popis:	This paper presented a technique to extract rules in order to identify attacks and faults to improve security of electric power control systems. By using rough sets classification algorithm, a set of rules can be defined. The approach tries to reduce the number of input variables and the number of examples, offering a more compact set of examples to fix the rules to the anomaly detector. An illustrative example is presented.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d67fc5f77b2851100d6549a7f4fbd88f https://doi.org/10.1109/pct.2007.4538300 Zobrazit plný text záznamu