Blockchain-Based Decentralized Replay Attack Detection for Large-Scale Power Systems

【Author】 Ramanan, Paritosh; Li, Dan; Gebraeel, Nagi

【Source】IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS

【影响因子】11.471

【Abstract】Large-scale power systems are composed of regional utilities with assets that stream sensor readings in real time. In order to detect cyberattacks, the globally acquired, real-time sensor data needs to be analyzed in a centralized fashion. However, owing to operational constraints, such a centralized sharing mechanism turns out to be a major obstacle. In this article, we propose a blockchain-based decentralized framework for detecting coordinated replay attacks with full privacy of sensor data. We develop a Bayesian inference mechanism employing locally reported attack probabilities that is tailor made for a blockchain framework. We compare our framework to a traditional decentralized algorithm based on the broadcast gossip framework both theoretically as well as empirically. With the help of experiments on a private Ethereum blockchain, we show that our approach achieves good detection quality and significantly outperforms gossip-driven approaches in terms of accuracy, timeliness, and scalability.

【Keywords】Blockchains; Integrated circuits; Data privacy; Computer crime; Stakeholders; Real-time systems; Power systems; Blockchain; data privacy; decentralized analytics; global replay attacks; power systems

【发表时间】2021

【收录时间】2022-01-02

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