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Explainable Machine Learning for Cyberattack Identification from Traffic Flows

• Authors : Zhou, Yujing; Jacquet, Marc L.; Dawit, Robel

Subjects: Computer Science - Machine Learning; Computer Science - Cryptography and Security

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

• Authors : Alohali, Manal Abdullah¹ (AUTHOR); Dafaalla, Hatim² (AUTHOR); Baihan, Mohammed³ (AUTHOR)

• Source: Scientific Reports. 7/3/2025, Vol. 15 Issue 1, p1-23. 23p.

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Assessment of Cyberattack Detection-Isolation Algorithm for CAV Platoons Using SUMO

• Authors : Ghosh, Sanchita; Roy, Tanushree

Subjects: Electrical Engineering and Systems Science - Systems and Control

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A Framework for Evaluating Emerging Cyberattack Capabilities of AI

• Authors : Rodriguez, Mikel; Popa, Raluca Ada; Flynn, Four

Subjects: Computer Science - Cryptography and Security; Computer Science - Artificial Intelligence

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A novel lightweight deep learning framework using enhanced pelican optimization for efficient cyberattack detection in the Internet of Things environments

• Authors : Yaozhi Chen; Yan Guo; Yun Gao

Subjects: Internet of Things; Cyberattack; Deep learning

• Source: Journal of Engineering and Applied Science, Vol 72, Iss 1, Pp 1-26 (2025)

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An efficient trustworthy cyberattack defence mechanism system for self guided federated learning framework using attention induced deep convolution neural networks

• Authors : Louai A. Maghrabi; Alanoud Subahi; Nouf Atiahallah Alghanmi

Subjects: Cyberattack defence; Federated learning; Deep convolution neural network

• Source: Scientific Reports, Vol 15, Iss 1, Pp 1-26 (2025)

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Harnessing feature pruning with optimal deep learning-based distributed denial of service cyberattack detection on IoT environment

• Authors : Rania Aboalela; Khalid H. Allehaibi; Naif Alsaadi

Subjects: DDoS attack; IoT; Cyberattack

• Source: Alexandria Engineering Journal, Vol 120, Iss , Pp 584-597 (2025)

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Transfer Learning Assisted XgBoost For Adaptable Cyberattack Detection In Battery Packs

• Authors : Ghosh, Sanchita; Roy, Tanushree

Subjects: Electrical Engineering and Systems Science - Systems and Control; Computer Science - Machine Learning

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Machine Learning-Based Cyberattack Detection and Identification for Automatic Generation Control Systems Considering Nonlinearities

• Authors : Shabar, Nour M.; Saber, Ahmad Mohammad; Kundur, Deepa

Subjects: Computer Science - Cryptography and Security; Computer Science - Machine Learning

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Harnessing feature pruning with optimal deep learning based DDoS cyberattack detection on IoT environment.

• Authors : Yang, Eunmok¹ (AUTHOR); Jeong, Sooyong^2,3 (AUTHOR) ; Seo, Changho^2,3 (AUTHOR)

• Source: Scientific Reports. 5/20/2025, Vol. 15 Issue 1, p1-15. 15p.

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