A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
AI-Driven Cyber Risk Management Framework
As technological advancements continue to shape smart cities, the complex and interconnected digital networks within these infrastructures are increasingly susceptible to cyber threats. This PhD thesis explores the application of Artificial Intelligence (AI) as a powerful tool for managing and mitigating cyber risks in these advanced infrastructures and network systems. We focus on developing a proactive approach that combine the early detection, comprehensive assessment, and effective mitigation of impending cyber threats. To achieve this goal, we propose an AI-based framework that harnesses the power of Machine Learning (ML), Reinforcement Learning (RL), Natural Language Processing (NLP), and Graph Theory. By employing these techniques, our framework aims to fortify network and system resilience, providing robust cyber risk management by artificial intelligence and for smart cities. This work paves the way for innovative risk management strategies that not only react to cyber threats but also anticipate and neutralize them effectively.
AI-Driven Cyber Risk Management Framework
As technological advancements continue to shape smart cities, the complex and interconnected digital networks within these infrastructures are increasingly susceptible to cyber threats. This PhD thesis explores the application of Artificial Intelligence (AI) as a powerful tool for managing and mitigating cyber risks in these advanced infrastructures and network systems. We focus on developing a proactive approach that combine the early detection, comprehensive assessment, and effective mitigation of impending cyber threats. To achieve this goal, we propose an AI-based framework that harnesses the power of Machine Learning (ML), Reinforcement Learning (RL), Natural Language Processing (NLP), and Graph Theory. By employing these techniques, our framework aims to fortify network and system resilience, providing robust cyber risk management by artificial intelligence and for smart cities. This work paves the way for innovative risk management strategies that not only react to cyber threats but also anticipate and neutralize them effectively.
AI-Driven Cyber Risk Management Framework
Lect. Notes in Networks, Syst.
Ben Ahmed, Mohamed (editor) / Boudhir, Anouar Abdelhakim (editor) / El Meouche, Rani (editor) / Karaș, İsmail Rakıp (editor) / Agzayal, Yasser (author) / Bouhorma, Mohammed (author)
The Proceedings of the International Conference on Smart City Applications ; 2023 ; Paris, France
2024-02-20
14 pages
Article/Chapter (Book)
Electronic Resource
English
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