BLOSTER: Blockchain-based System for Detection of Fraudulent Rules in Software-Defined Networks
Abdelouahid Derhab, Mohamed Guerroumi, Leandros A. Maglaras, Mohamed Amine Ferrag, Mithun Mukherjee, Farrukh Aslam Khan · Electronic workshops in computing · 2019
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.