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Enhancing Security and Dependability of Industrial Networks with Opinion Dynamics

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Computer Security – ESORICS 2019 (ESORICS 2019)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 11736))

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Abstract

Opinion Dynamics poses a novel technique to accurately locate the patterns of an advanced attack against an industrial infrastructure, compared to traditional intrusion detection systems. This distributed solution provides profitable information to identify the most affected areas within the network, which can be leveraged to design and deploy tailored response mechanisms that ensure the continuity of the service. In this work, we base on this multi-agent collaborative approach to propose a response technique that permits the secure delivery of messages across the network. For such goal, our contribution is twofold: firstly, we redefine the existing algorithm to assess not only the compromise of nodes, but also the security and quality of service of communication links; secondly, we develop a routing protocol that prioritizes the secure paths throughout the topology considering the information obtained from the detection system.

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Acknowledgments

This work has been partially supported by the research project SealedGRID (H2020-MSCA-RISE-2017), financed from the European Unions Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 777996, as well as by the project DISS-IIoT, financed by the University of Malaga (UMA) through the “I Plan Propio de Investigación y Transferencia”. Likewise, the work of the first author has been partially financed by the Spanish Ministry of Education under the FPU program (FPU15/03213).

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Authors and Affiliations

  1. Department of Computer Science, University of Malaga, Campus de Teatinos s/n, 29071, Malaga, Spain

    Juan E. Rubio, Cristina Alcaraz & Javier Lopez

  2. Surrey Centre for Cyber Security (SCCS), University of Surrey, Guildford, UK

    Mark Manulis

Authors
  1. Juan E. Rubio
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  2. Mark Manulis
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  3. Cristina Alcaraz
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  4. Javier Lopez
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Corresponding author

Correspondence to Juan E. Rubio .

Editor information

Editors and Affiliations

  1. NEC Corporation, Kawasaki, Japan

    Kazue Sako

  2. University of Surrey, Guildford, UK

    Steve Schneider

  3. University of Luxembourg, Esch-sur-Alzette, Luxembourg

    Peter Y. A. Ryan

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Rubio, J.E., Manulis, M., Alcaraz, C., Lopez, J. (2019). Enhancing Security and Dependability of Industrial Networks with Opinion Dynamics. In: Sako, K., Schneider, S., Ryan, P. (eds) Computer Security – ESORICS 2019. ESORICS 2019. Lecture Notes in Computer Science(), vol 11736. Springer, Cham. https://doi.org/10.1007/978-3-030-29962-0_13

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  • DOI: https://doi.org/10.1007/978-3-030-29962-0_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-29961-3

  • Online ISBN: 978-3-030-29962-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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