Collaborative Learning for Cyberattack Detection in Blockchain Networks

arXiv:2203.11076v4 Announce Type: replace-cross
Abstract: This article aims to study intrusion attacks and then develop a novel cyberattack detection framework to detect cyberattacks at the network layer (e.g., Brute Password and Flooding of Transactions) of blockchain networks. Specifically, we first design and implement a blockchain network in our laboratory. This blockchain network will serve two purposes, i.e., to generate the real traffic data (including both normal data and attack data) for our learning models and to implement real-time experiments to …

abstract article arxiv attacks blockchain collaborative cs.cr cs.lg cyberattack cyberattacks design detection flooding framework laboratory layer network networks novel password study transactions type