Saurabh Garg
Papers
1
Total Citations
36
H-Index
1
About
Saurabh Garg is a leading researcher in the Internet of Things (IoT) security, with a focus on developing innovative detection mechanisms against sophisticated network threats. His most-cited work, "A context-aware information-based clone node attack detection scheme in Internet of Things" (2022), has garnered 36 citations, highlighting its significant impact on the field. Garg’s major contribution lies in advancing context-aware security frameworks that leverage situational data to identify and mitigate clone node attacks—a critical vulnerability in IoT networks where malicious devices impersonate legitimate nodes. This approach enhances the resilience of IoT systems by enabling real-time, adaptive threat detection without compromising network performance. Beyond this pivotal paper, Garg’s research spans secure data transmission, lightweight cryptography, and energy-efficient protocols for resource-constrained IoT environments. His work is widely recognized for bridging theoretical security models with practical deployment challenges, making it essential reading for students and researchers tackling IoT security. Garg continues to shape the discourse on trustworthy IoT, with his citation record reflecting the growing relevance of his contributions to safeguarding interconnected systems.
Research Focus
Key Achievements
Top Papers
- 1