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Support Vector Machine-Based Dynamic Cyber-Attack Detection in AGC System

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Intelligent Computing in Control and Communication

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 702))

Abstract

This paper presents novel dynamic cyber-attack detection in automatic generation control (AGC) using support vector machine (SVM). The basic idea of attack detection is based on the pattern recognition of the residual signal of the linear observer designed to estimate the states of the AGC system. Features are extracted from the residual and its derivative signal and are trained using SVM. The proposed idea is tested for various types of attack signals

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Author information

Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, GMR Institute of Technology, Rajam, Andhra Pradesh, 532127, India

    Tummala S. L. V. Ayyarao & L. Venkata Sureshkumar

  2. Department of Electrical and Electronics Engineering, Aditya Institute of Technology and Management, Tekkali, Srikakulam, Andhra Pradesh, 532201, India

    D. Vijaya Kumar

Authors
  1. Tummala S. L. V. Ayyarao
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  2. L. Venkata Sureshkumar
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  3. D. Vijaya Kumar
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Corresponding author

Correspondence to L. Venkata Sureshkumar .

Editor information

Editors and Affiliations

  1. Department of Electrical and Electronics Engineering, Sri Sivani College of Engineering (SSCE), Srikakulam, Andhra Pradesh, India

    G.T. Chandra Sekhar

  2. Department of Information Technology, Veer Surendra Sai University of Technology, Burla, Odisha, India

    H. S. Behera

  3. Department of Computer Science and Engineering, Aditya Institute of Technology and Management (AITAM), Srikakulam, Andhra Pradesh, India

    Janmenjoy Nayak

  4. Department of Computer Application, Veer Surendra Sai University of Technology, Burla, Odisha, India

    Bighnaraj Naik

  5. Faculty of Communication Sciences, University of Teramo, Coste Sant’agostino Campus, Teramo, Italy

    Danilo Pelusi

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Cite this paper

Ayyarao, T.S.L.V., Sureshkumar, L.V., Vijaya Kumar, D. (2021). Support Vector Machine-Based Dynamic Cyber-Attack Detection in AGC System. In: Sekhar, G.C., Behera, H.S., Nayak, J., Naik, B., Pelusi, D. (eds) Intelligent Computing in Control and Communication. Lecture Notes in Electrical Engineering, vol 702. Springer, Singapore. https://doi.org/10.1007/978-981-15-8439-8_28

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  • DOI: https://doi.org/10.1007/978-981-15-8439-8_28

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-8438-1

  • Online ISBN: 978-981-15-8439-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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