Computational intelligence algorithms analysis for smart grid cyber security

Research output: Contribution to report/book/conference proceedingsIn-proceedings paper

Authors

  • Yong Wang
  • Da Ruan
  • Jianping Xu
  • Mi Wen
  • Liwen Deng

Documents & links

Abstract

The cyber attack risks are threatening the smart grid security. Malicious worm could spread from meter to meter to take out power in a simulated attack. The North American Electric Reliability Corporation (NERC) has thus developed several iterations of cyber security standards. According to the NERC cyber standards CIP-002-2 requirements, in this paper, we present cyber security risk analysis using computational intelligence methods and review on core methods, such as in risk assessment HHM, IIM, RFRM algorithms, fault analysis FTA, ETA, FMEA, FMECA algorithms, fuzzy sets, intrusion detection systems, artificial neural networks and artificial immune systems. Through the analysis of the core computational intelligence algorithms used in the smart grid cyber security in power system network security lab, we clearly defined existing smart grid research challenges.

Details

Original languageEnglish
Title of host publicationAdvances in Swarm Intelligence
Place of PublicationHeidelberg, Germany
Pages77-84
Volume2
Publication statusPublished - Jun 2010
EventFirst International Conference in Swarm Intelligence - ICSI, Beijing, China
Duration: 12 Jun 201015 Jun 2010

Publication series

NameLecture Notes in Computer Sciences (LNCS)
Number6146

Conference

ConferenceFirst International Conference in Swarm Intelligence
CountryChina
CityBeijing
Period2010-06-122010-06-15

Keywords

  • Smart Grid, Cyber Security, Computational Intelligence

ID: 105036