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International Conference on Wireless Algorithms, Systems, and Applications

WASA 2016: Wireless Algorithms, Systems, and Applications pp 47–55Cite as

CNFD: A Novel Scheme to Detect Colluded Non-technical Loss Fraud in Smart Grid

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9798))

Abstract

We newly discovered a potential fraud in Smart Grid, called colluded non-technical loss fraud. Different from the traditional non-technical loss frauds where there is only one independent adversary, a colluded non-technical loss fraud happens when a smart meter is tampered by one or more co-existing or collaborating adversaries. The behavior of one adversary may be covered by others and cannot be detected easily by the traditional detection methods. We propose Colluded Non-Technical Loss Fraud Detection (CNFD), a scheme to detect colluded non-technical loss frauds in Smart Gird. CNFD adopts recursive least squares to identify a tampered meter and then to differentiate adversaries based on their mathematical features. Experimental results show that CNFD can detect colluded non-technical loss frauds and can differentiate different adversaries on the same meter.

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Acknowledgements

This work was supported in part by the National Natural Science Foundation of China under the grant 61374200, and the National Science Foundation (NSF) under grant CNS-1059265.

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Authors and Affiliations

  1. Department of Computer Science, The University of Alabama, 342 H.M. Comer, Box 870290, Tuscaloosa, AL, 35487-0290, USA

    Wenlin Han & Yang Xiao

Authors
  1. Wenlin Han
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  2. Yang Xiao
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Corresponding author

Correspondence to Yang Xiao .

Editor information

Editors and Affiliations

  1. Montana State University , Bozeman, USA

    Qing Yang

  2. Dept of Computer & Information Sci, Towson University, Towson, Maryland, USA

    Wei Yu

  3. Laboratoire de Méthodes de Conception de , Algiers, Algeria

    Yacine Challal

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Han, W., Xiao, Y. (2016). CNFD: A Novel Scheme to Detect Colluded Non-technical Loss Fraud in Smart Grid. In: Yang, Q., Yu, W., Challal, Y. (eds) Wireless Algorithms, Systems, and Applications. WASA 2016. Lecture Notes in Computer Science(), vol 9798. Springer, Cham. https://doi.org/10.1007/978-3-319-42836-9_5

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  • DOI: https://doi.org/10.1007/978-3-319-42836-9_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42835-2

  • Online ISBN: 978-3-319-42836-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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