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Semi-Supervised Learning Based Trust Evaluation for Underwater Wireless Sensor Networks

Release Time:2025-11-27  Hits:

Date of Publication: 2024-11-19

Journal: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

Volume: 573 LNICST

Page Number: 411-425

ISSN: 1867-8211

Key Words: Contrastive Learning; Data acquisition; Data collection; Evaluation methods; Federated learning; Generative adversarial networks; Internal attacks; Labeled data; Large amounts of data; Machine learning algorithms; Self-supervised learning; Semi-supervised learning; Trust evaluation; Trust mechanism; Trust models; Underwater wireless sensor networks; Wireless sensor networks

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