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An Enhanced Blockchain-Based Data Management Scheme for Microgrids

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Web, Artificial Intelligence and Network Applications (WAINA 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1150))

Abstract

Trading of distributed energy resources is an important aspect to fully achieve energy efficiency. Modern microgrids and consumer/prosumer energy transactions are such kind of enablers. The blockchain has been proposed as a solution to aid microgrid applications with the support of a decentralized trading model, operations processing, computation and storage. However, microgrids trading is still vulnerable to so-called False Data Injection (FDI) attacks, that is the attempt by malicious participating nodes to distribute false measurements to the peers to gain personal advantages. In this paper, we propose an enhanced blockchain mechanism to counteract possible FDI attacks by means of mobile software agents to control and detect malicious activities of sellers nodes.

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Acknowledgements

The research was supported from ERDF/ESF “CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence” (No. CZ.02.1.01/0.0/0.0/16_019/ 0000822).

Author information

Authors and Affiliations

  1. Faculty of Informatics, Masaryk University, Brno, Czech Republic

    Bacem Mbarek, Stanislav Chren, Bruno Rossi & Tomás Pitner

Authors
  1. Bacem Mbarek
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  2. Stanislav Chren
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  3. Bruno Rossi
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  4. Tomás Pitner
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Corresponding author

Correspondence to Bacem Mbarek .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Department of Electrical Engineering and Information Technology, University of Naples “Frederico II”, Naples, Italy

    Flora Amato

  3. Department of Political Science, University of Campania Luigi Vanvitelli, Caserta, Italy

    Francesco Moscato

  4. Faculty of Business Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

  5. Department of Advanced Sciences, Hosei University, Tokyo, Japan

    Makoto Takizawa

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Mbarek, B., Chren, S., Rossi, B., Pitner, T. (2020). An Enhanced Blockchain-Based Data Management Scheme for Microgrids. In: Barolli, L., Amato, F., Moscato, F., Enokido, T., Takizawa, M. (eds) Web, Artificial Intelligence and Network Applications. WAINA 2020. Advances in Intelligent Systems and Computing, vol 1150. Springer, Cham. https://doi.org/10.1007/978-3-030-44038-1_70

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