Collaborative Learning for Cyberattack Detection in Blockchain Networks. (arXiv:2203.11076v2 [cs.CR] UPDATED)

Web: http://arxiv.org/abs/2203.11076

This article aims to study intrusion attacks and then develop a novel
cyberattack detection framework for blockchain networks. Specifically, we first
design and implement a blockchain network in our laboratory. This blockchain
network will serve two purposes, i.e., generate the real traffic data
(including both normal data and attack data) for our learning models and
implement real-time experiments to evaluate the performance of our proposed
intrusion detection framework. To the best of our knowledge, this is the first
dataset that …

blockchain cyberattack detection networks