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Blockchain security has been drawing a tremendous attention from industry and academic due to its prevalence on real-world applications in these years, such as distributed blockchain-based storage systems. Since being deployed in distributed and decentralized network, blockchain applications may be vulnerable to various types of network attacks. This paper deals with “eclipse attacks” enabling a malicious actor to isolate a system user by taking control of all outgoing connections. Although being known from practical blockchain applications, eclipse attacks, so far, are hard to be detected. To solve this problem, this paper designs an eclipse-attack detection model for Ethereum platform, ETH-EDS, based on random forest classification algorithm. Specifically, via the collection and investigation over the normal and attack data packets (across the network), we find out that the information in the attack packets …