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- Title
Special Issue on Adversarial AI to IoT Security and Privacy Protection: Attacks and Defenses.
- Authors
Gao, Honghao; Tan, Zhiyuan
- Abstract
The prosperity of social IoT data brings revolutionary changes to our daily lives and greatly increases the existing data volume. The edge server trains the local generator and discriminator using the perturbed data, which provides privacy guarantees for the gradient attack on the FedGAN without compromising accuracy. The authors empirically compare the proposed approach with several state-of-the-art anomaly detection methods on real-world datasets, anomaly benchmarks and synthetic datasets.
- Subjects
ARTIFICIAL neural networks; ARTIFICIAL intelligence; INTERNET domain naming system; DEEP learning; INTERNET of things; GENERATIVE adversarial networks; PRIVACY
- Publication
Computer Journal, 2022, Vol 65, Issue 11, p2847
- ISSN
0010-4620
- Publication type
Article
- DOI
10.1093/comjnl/bxac128