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      BLOSTER: Blockchain-based System for Detection of Fraudulent Rules in Software-Defined Networks

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      6th International Symposium for ICS & SCADA Cyber Security Research 2019 (ICS-CSR)

      Cyber Security Research

      10th-12th September 2019

      Blockchain, Software-Defined Network, OpenFlow

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          Abstract

          This work proposes BLOSTER, a lightweight and accurate detection system, which leverages the blockchain technology to detect any tampering attempt with the OpenFlow rules of the software-defined networks. We test BLOSTER on an experimental platform combining blockchain and software-defined networking technologies. Security analysis and performance results demonstrate that BLOSTER ensures full detection of fraudulent rules within short detection time.

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          A security enforcement kernel for OpenFlow networks

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            Author and article information

            Contributors
            Conference
            September 2019
            September 2019
            : 38-40
            Affiliations
            King Saud University

            Saudi Arabia
            USTHB University

            Algeria
            De Montfort University

            UK
            Guelma University

            Algeria
            Guangdong University of Petrochemical Technology

            China
            Article
            10.14236/ewic/icscsr19.5
            © Abdelouahid Derhab et al. Published by BCS Learning and Development Ltd. 6th International Symposium for ICS & SCADA Cyber Security Research 2019

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            6th International Symposium for ICS & SCADA Cyber Security Research 2019
            ICS-CSR
            6
            Athens, Greece
            10th-12th September 2019
            Electronic Workshops in Computing (eWiC)
            Cyber Security Research
            Product
            Product Information: 1477-9358BCS Learning & Development
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

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