Mohamed M. Hassan
Papers
1
Total Citations
7
H-Index
1
About
Mohamed M. Hassan is a leading researcher at the intersection of cybersecurity, artificial intelligence, and the Internet of Things (IoT). His work addresses one of the most pressing challenges of our connected era: protecting IoT ecosystems from sophisticated cyber threats. In his highly cited 2022 paper, "Enhanced Secure Technique for Detecting Cyber Attacks Using Artificial Intelligence and Optimal IoT," Hassan introduced a novel framework that leverages AI to autonomously detect and neutralize attacks in real-time, minimizing the need for human intervention. This contribution has garnered 7 citations and is recognized for its practical impact on securing smart environments. By combining optimal IoT design with intelligent threat detection, Hassan's research offers a scalable solution for industries ranging from smart homes to critical infrastructure. His work not only advances theoretical understanding but also provides actionable strategies for building resilient, self-defending networks. For students and researchers, Hassan's publications serve as a vital resource for understanding how AI can transform cybersecurity in an increasingly interconnected world.
Research Focus
Key Achievements
Top Papers
- 1