Norshakirah Aziz
Papers
1
Total Citations
13
H-Index
1
About
Dr. Norshakirah Aziz is a leading researcher at the intersection of artificial intelligence and cybersecurity, with a primary focus on securing cyber-physical systems (CPS) and Internet of Things (IoT) infrastructures. Her most cited work, "Deep Learning Model for Cybersecurity Attack Detection in Cyber-Physical Systems" (2022, 13 citations), addresses the critical challenge of protecting smart manufacturing, intelligent transportation, and critical infrastructure from sophisticated cyber threats. Dr. Aziz's major contribution lies in developing advanced deep learning architectures that can detect and mitigate attacks in real-time, bridging the gap between theoretical AI models and practical security applications. Her research is particularly notable for its emphasis on the vulnerabilities of field devices in CPS environments, offering robust solutions that enhance system resilience. With a growing citation impact, Dr. Aziz is recognized for translating complex machine learning techniques into deployable security frameworks. Her work is essential reading for researchers and practitioners seeking to understand how AI can fortify the backbone of modern digital infrastructure against emerging cyber risks.
Research Focus
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Top Papers
- 1