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Advanced Monitoring Based Intrusion Detection System for Distributed and Intelligent Energy Theft: DIET Attack in Advanced Metering Infrastructure

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Transactions on Computational Science XXXI

Part of the book series: Lecture Notes in Computer Science ((TCOMPUTATSCIE,volume 10730))

Abstract

Power grid and energy theft has an eternal relationship. Though we moved towards Smart Grid, with an expectation for a more efficient, reliable and secure service, so does the attackers. Smart Grid and AMI systems incorporate a good number of security measures, still it is open to various threats. Recent attacks on Smart Grids in U.S., Gulf State and Ukraine proved that the attacks on the grid have become more sophisticated. In this paper we have introduced a new, distributed and intelligent energy theft: DIET attack and proposed an advanced Intrusion Detection System to protect AMI system. The proposed IDS can perform a passive monitoring on the system as well as detect attackers. This features make this IDS more robust and reliable.

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Acknowledgments

This work is a part of the Ph.D. work of the author, a Senior Research Fellow of Council of Scientific & Industrial Research (CSIR), Government of India. We would like to acknowledge CSIR, for providing the support required for carrying out the research work.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, University of Calcutta, Kolkata, India

    Manali Chakraborty

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  1. Manali Chakraborty
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Correspondence to Manali Chakraborty .

Editor information

Editors and Affiliations

  1. University of Calgary, Calgary, Alberta, Canada

    Marina L. Gavrilova

  2. Sardina Systems OÜ, Tallinn, Estonia

    C.J. Kenneth Tan

  3. University of Calcutta, Calcutta, India

    Nabendu Chaki

  4. Bialystok University of Technology, Bialystok, Poland

    Khalid Saeed

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Chakraborty, M. (2018). Advanced Monitoring Based Intrusion Detection System for Distributed and Intelligent Energy Theft: DIET Attack in Advanced Metering Infrastructure. In: Gavrilova, M., Tan, C., Chaki, N., Saeed, K. (eds) Transactions on Computational Science XXXI. Lecture Notes in Computer Science(), vol 10730. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-56499-8_5

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  • DOI: https://doi.org/10.1007/978-3-662-56499-8_5

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-56498-1

  • Online ISBN: 978-3-662-56499-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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