Enhancing Cybersecurity in Healthcare IoT Systems Using Reinforcement Learning
Mohamed Nadhir Abid, Mounir Beggas, Abdelkader Laouid, Mohammad Ali A. Hammoudeh
Mounir Beggas
منير بقاصProfessor
18
Research output
94
Citations
5
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View allWeighted concepts mined from titles, abstracts and topics of the research output, grouped by field.
- Advanced Steganography and Watermarking Techniques
- Chaos-based Image/Signal Encryption
- Computer Science
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Network Security and Intrusion Detection
- least significant bit embedding
- medical image security
- Digital Media Forensic Detection
- Information Systems
Research output(18)
View allBlockchain-Watermarking scheme based K-Means for Medical Image
Mohammed Elhabib Kahla, Mounir Beggas, Abdelkader Laouid, Mohammad Ali A. Hammoudeh, Lamri Laouamer
WAMAS: A Multi-Agent System with Improved Watershed Segmentation for Brain MRI Analysis
Nedjoua Houda Kholladi, Okba Kazar, Abdelkader Hima, Kamal Bechkoum, Mounir Beggas, Meriem Hamoud
A Novel Dual Watermarking Scheme Based on K-Level For Medical Images
Mohammed Elhabib Kahla, Mounir Beggas, Abdelkader Laouid, Brahim Ferik, Mostefa Kara
Navigating water scarcity in arid landscapes: a reinforcement learning environment for wheat irrigation management
Mohamed Nadhir Abid, Mounir Beggas, Abdelkader Laouid, Mohammad Ali A. Hammoudeh