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A Provably Secure Data Sharing Scheme for Smart Gas Grid in Fog Computing Environment

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Emerging Trends in Cybersecurity Applications

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Abstract

The smart gas grid (SGG) implies to enhance current gas distribution grids by establishing continuous on-request and bidirectional data interchange between metering devices, gas flow instrument’s, utilities, and end clients. SGG integrates IoT in gas distribution system and improves the management in hazard minimization for gas infrastructure. As a result, the security and privacy of this type of vital infrastructure are frequently overlooked during the design process. Cloud reserves are frequently researched to store data from smart meters. Regardless of SGG’s exemplary service, this raises concerns about the unpredictable and long-term connections between cloud data hubs and smart meters. To address this issue, the integration of fog computing with SGG emerges as a promising solution. This chapter proposed a hyperelliptic curve (HYEC)-based proxy signcryption scheme based on identities of data owners and data users in fog computing environment (IBPSC-SGG-FCE). The use of fog computing layer provides excellent response times, reliability, and enhanced privacy. HYEC enhances network computation efficiency. Formal security analysis is used to assess the toughness of security measures. Under OFMC and CL-Atse backend, the simulation study using Automated Validation of Internet Security-sensitive Protocols and Applications (AVISPA) tool shows that the proposed scheme is safe. The computation and communication costs of the proposed scheme have also been compared to those of the relevant existing schemes in the performance analysis. The security and performance evaluations show that the proposed scheme is superior.

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Authors and Affiliations

  1. Pimpri Chinchwad College of Engineering, Pune, Maharashtra, India

    Rachana Patil, Renu Kachhoriya & Manjiri Ranjanikar

  2. Dr. D. Y. Patil Institute of Technology, Pune, India

    Yogesh H. Patil

  3. SIES Graduate School of Engineering, Navi Mumbai, India

    Aparna Bannore

  4. National Sun Yat-sen University, Kaohsiung, Taiwan

    Arijit Karati

Authors
  1. Rachana Patil
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  2. Yogesh H. Patil
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  3. Aparna Bannore
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  4. Arijit Karati
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  5. Renu Kachhoriya
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  6. Manjiri Ranjanikar
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Correspondence to Rachana Patil .

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Editors and Affiliations

  1. University of Detroit Mercy, Detroit, MI, USA

    Kevin Daimi

  2. Kent Institute Australia, Sydney, NSW, Australia

    Abeer Alsadoon

  3. Ulster University, Ulster, UK

    Cathryn Peoples

  4. EPITA Engineering School, Paris, France

    Nour El Madhoun

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Patil, R., Patil, Y.H., Bannore, A., Karati, A., Kachhoriya, R., Ranjanikar, M. (2023). A Provably Secure Data Sharing Scheme for Smart Gas Grid in Fog Computing Environment. In: Daimi, K., Alsadoon, A., Peoples, C., El Madhoun, N. (eds) Emerging Trends in Cybersecurity Applications. Springer, Cham. https://doi.org/10.1007/978-3-031-09640-2_13

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  • DOI: https://doi.org/10.1007/978-3-031-09640-2_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-09639-6

  • Online ISBN: 978-3-031-09640-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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