Open AccessBLOSTER: Blockchain-based System for Detection of Fraudulent Rules in Software-Defined Networks
Author(s) -
Abdelouahid Derhab,
Mohamed Guerroumi,
Λέανδρος Μαγλαράς,
Mohamed Amine Ferrag,
Mithun Mukherjee,
Farrukh Aslam Khan
Publication year - 2019
Publication title -
electronic workshops in computing
Language(s) - English
Resource type - Conference proceedings
ISSN - 1477-9358
DOI - 10.14236/ewic/icscsr19.5
Subject(s) - blockchain , openflow , computer science , software , software defined networking , software security assurance , computer security , distributed computing , operating system , information security , security service
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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