Liaqat Ali

University of Science and Technology Bannu, Zayed University

Papers

Total Citations

H-Index

About

Liaqat Ali is a prominent researcher at the intersection of cybersecurity, the Internet of Things (IoT), and blockchain technology. His work primarily focuses on securing critical infrastructures within the Industrial Internet of Things (IIoT), where he has pioneered innovative solutions for energy-efficient and secure data routing. His most cited paper, "Energy‐Aware Routing Protocol with Fuzzy Logic in Industrial Internet of Things with Blockchain Technology" (2022, 42 citations), introduces a novel framework that combines fuzzy logic with blockchain to optimize energy consumption and enhance security in IIoT networks—a vital contribution for scalable industrial automation. Additionally, his research on "Security Assessment for Zenbo Robot Using Drozer and mobSF Frameworks" (2021, 11 citations) addresses the growing vulnerabilities in mobile-driven robotic systems, demonstrating his commitment to practical, real-world security assessments. By integrating blockchain’s tamper-proof ledger with AI-driven routing, Ali’s work directly tackles the dual challenges of efficiency and trust in connected industrial systems. His contributions are shaping the future of secure, autonomous IoT ecosystems, making him a key figure for students and researchers exploring resilient cyber-physical systems.