Sumit Pundir
Papers
1
Total Citations
33
H-Index
1
About
Sumit Pundir is a prominent researcher in cybersecurity and the Internet of Things (IoT), with a particular focus on securing industrial multimedia environments. His most-cited work, "MADP-IIME: malware attack detection protocol in IoT-enabled industrial multimedia environment using machine learning approach" (2021), has garnered 33 citations, establishing him as a key contributor to the field. In this influential study, Pundir developed a machine learning-based protocol to detect malware attacks in IoT-enabled industrial multimedia systems, addressing critical vulnerabilities in smart manufacturing and industrial automation. His research integrates advanced ML algorithms with IoT security frameworks, offering practical solutions for real-time threat detection in complex, data-rich environments. Beyond this flagship paper, Pundir's work spans intrusion detection, network security, and adaptive defense mechanisms, consistently pushing the boundaries of how machine learning can safeguard interconnected industrial systems. His contributions are particularly valuable for researchers and practitioners working on the intersection of IoT, cybersecurity, and industrial automation, providing both theoretical insights and deployable protocols. With a growing citation record and a focus on high-impact, application-driven research, Sumit Pundir continues to shape the future of secure, intelligent industrial ecosystems.
Research Focus
Key Achievements
Top Papers
- 1