Smart Contract-Enabled Detection and Mitigation of Pollution Attacks in Blockchain

Abstract: Pollution attacks, such as transaction spam or fake data injection, undermine blockchain efficiency and security. This paper proposes a smart contract-based framework to autonomously detect and mitigate such attacks in real time. By embedding heuristic rules and anomaly detection logic into smart contracts, our system identifies malicious activity (e.g., excessive invalid transactions) and enforces countermeasures, including stake slashing or transaction throttling. Implemented on Ethereum, the solution demonstrates improved network resilience with minimal overhead, offering a decentralized and scalable defense against pollution threats while preserving data integrity.

Keywords: Pollution attacks, Smart contracts, Anomaly detection, Block chain security, Decentralized mitigation, Ethereum