Mohammad Wazid
Papers
5
Total Citations
85
H-Index
4
About
Mohammad Wazid is a leading researcher at the forefront of cybersecurity for next-generation networked systems, with a particular focus on the Internet of Things (IoT), Industrial IoT (IIoT), and critical healthcare infrastructure. His work masterfully bridges the gap between secure protocol design and advanced machine learning, addressing the unique vulnerabilities of resource-constrained, data-intensive environments. Wazid’s major contributions include pioneering secure access control schemes for fog-based IIoT, such as the widely cited SAC-FIIoT protocol (17 citations), which ensures robust authentication in industrial automation settings. He has also tackled emerging threats in specialized domains, including malware attack detection in IoT-enabled industrial multimedia using machine learning (33 citations) and user authentication for tactile internet-based remote surgery, a life-critical application. More recently, his research has expanded into cloud-based secure big data analytics for drone-assisted healthcare 5.0 and distributed denial-of-service prevention for IoT-driven data fusion systems. With a portfolio of highly impactful papers accumulating over 85 citations, Wazid is recognized for systematically addressing security challenges across the IoT ecosystem—from edge devices to cloud platforms—making him a key voice in the future of secure, intelligent, and connected systems.
Research Focus
Key Achievements
Top Papers
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