Federated Learning-Based Intrusion Detection in the Context of IIoT Networks: Poisoning Attack and Defense

Nguyen Chi Vy; Nguyen Huu Quyen; Phan The Duy; Van-Hau Pham

doi:10.1007/978-3-030-92708-0_8

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Federated Learning-Based Intrusion Detection in the Context of IIoT Networks: Poisoning Attack and Defense

Nguyen Chi Vy Nguyen Huu Quyen Phan The Duy Van-Hau Pham

Year: 2021 Lecture notes in computer science Pages: 131-147 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-92708-0_8

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Keywords:

Computer science Intrusion detection system Computer security Context (archaeology) Robustness (evolution) Federated learning Artificial intelligence Machine learning

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Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Privacy-Preserving Technologies in Data

Physical Sciences → Computer Science → Artificial Intelligence

Internet Traffic Analysis and Secure E-voting

Physical Sciences → Computer Science → Artificial Intelligence

Federated Learning-Based Intrusion Detection in the Context of IIoT Networks: Poisoning Attack and Defense

Metrics

Citation History

Topics

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