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Computational Intelligence Algorithms Analysis for Smart Grid Cyber Security

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Advances in Swarm Intelligence (ICSI 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6146))

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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.

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Author information

Authors and Affiliations

  1. Department of Computers Science and Technology, Shanghai University of Electric Power, 20090, Shanghai, China

    Yong Wang, Jianping Xu & Mi Wen

  2. Belgian Nuclear Research Centre, Boeretang 200, 2400, Mol, Belgium

    Yong Wang & Da Ruan

  3. Shanghai Changjiang Computer Group Corporation, 200001, China

    Liwen Deng

Authors
  1. Yong Wang
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  2. Da Ruan
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  3. Jianping Xu
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  4. Mi Wen
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  5. Liwen Deng
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Editor information

Editors and Affiliations

  1. Key Laboratory of Machine Perception (MOE), Department of Machine Intelligence, Peking University, 100871, Beijing, China

    Ying Tan

  2. Research and Postgraduate Office, Xi’an Jiaotong-Liverpool University, 215123, Suzhoum, China

    Yuhui Shi

  3. Department of Electrical and Computer Engineering, Engineering Drive 3, 4 Engineering Drive 3, National University of Singapore, 117576, Singapore

    Kay Chen Tan

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© 2010 Springer-Verlag Berlin Heidelberg

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Wang, Y., Ruan, D., Xu, J., Wen, M., Deng, L. (2010). Computational Intelligence Algorithms Analysis for Smart Grid Cyber Security. In: Tan, Y., Shi, Y., Tan, K.C. (eds) Advances in Swarm Intelligence. ICSI 2010. Lecture Notes in Computer Science, vol 6146. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13498-2_11

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  • DOI: https://doi.org/10.1007/978-3-642-13498-2_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13497-5

  • Online ISBN: 978-3-642-13498-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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