Boosting Cyberattack Detection Using Binary Metaheuristics With Deep Learning on Cyber-Physical System Environment
The swift advancement of cyber-physical systems (CPSs) across sectors such as healthcare, transportation, critical infrastructure, and energy enhances the crucial requirement for robust cybersecurity measures to protect these systems from cyberattacks. The cyber-physical method is a hybrid of cyber...
Saved in:
Main Authors: | Alanoud Al Mazroa, Fahad R. Albogamy, Mohamad Khairi Ishak, Samih M. Mostafa |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10829562/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Mathematical Modeling of Cyberattack Defense Mechanism Using Hybrid Transfer Learning With Snow Ablation Optimization Algorithm in Critical Infrastructures
by: Mohamad Khairi Ishak
Published: (2025-01-01) -
Cyberattacks and the Erosion of State Sovereignty
by: Ana Maria COSTEA, et al.
Published: (2024-12-01) -
Cyberattack on the National Health Laboratory Service of South Africa – implications, response and recommendations
by: S Cassim, et al.
Published: (2024-11-01) -
Quantization Effects on Zero-Dynamics Attacks to Closed-Loop Sampled-Data Control Systems
by: Xile Kang, et al.
Published: (2025-01-01) -
Intrusion detection in metaverse environment internet of things systems by metaheuristics tuned two level framework
by: Milos Antonijevic, et al.
Published: (2025-01-01)