Leveraging self attention driven gated recurrent unit with crocodile optimization algorithm for cyberattack detection using federated learning framework

Leveraging self attention driven gated recurrent unit with crocodile optimization algorithm for cyberattack detection using federated learning framework

Abstract Cybersecurity has been defined as a vital part of the developments, which is mainly related to technology. Enlarged cybersecurity safeguards that the data remains safe. Cyberattacks like computer malware, denial-of-service (DoS) attacks, or unauthorized access led to severe damage and econo...

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Bibliographic Details
Main Authors: Manal Abdullah Alohali, Hatim Dafaalla, Mohammed Baihan, Sultan Alahmari, Achraf Ben Miled, Othman Alrusaini, Ali Alqazzaz, Hanadi Alkhudhayr
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Self-attention mechanism
Federated learning
Cyberattack detection
Crocodile optimization algorithm
Cybersecurity
Online Access:https://doi.org/10.1038/s41598-025-99452-4
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https://doi.org/10.1038/s41598-025-99452-4

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