Towards Fast Network Intrusion Detection based on Efficiency-preserving Federated Learning

Tian Dong,Han Qiu,Jialiang Lu,Meikang Qiu,Chun Fan

2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom)（2021）

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摘要

Network Intrusion Detection Systems (NIDSs) are extremely important in defending against emergent cyberattacks. However, current NIDSs for Internet-of-Things (IoT) devices have not taken actual device computation limitation into account, and are still based on resource-consuming neural networks. In this paper, we propose a simple but effective FL-based NIDS. Specifically, we leverage the character...

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关键词

Intrusion Detection,Communication-efficient,Privacy-preserving,Federated Learning,Internet-of-Things

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