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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.

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