Aishwary Anurag
Papers
1
Total Citations
7
H-Index
1
About
Aishwary Anurag is a rising researcher at the intersection of cybersecurity, artificial intelligence, and robotics. His work focuses on fortifying robotic systems against emerging threats, particularly by leveraging AI and machine learning to detect and classify cyber-attacks targeting critical infrastructure. In his most cited paper, "Robotic and Cyber-Attack Classification Using Artificial Intelligence and Machine Learning Techniques" (2024, 7 citations), Anurag addresses vulnerabilities in industrial, medical, and military robotics, proposing novel classification frameworks that enhance security across IoT protocols. This contribution is pivotal as autonomous systems become more integrated into sensitive domains. Beyond this, Anurag explores the security of IoT protocols—categorized into Information, Access, and Function—offering a structured approach to mitigating hardware, software, and application-level attacks. His work is gaining traction among researchers and practitioners seeking to safeguard next-generation robotic systems. With a growing citation footprint and a focus on real-world applicability, Anurag is establishing himself as a key voice in the evolving field of AI-driven cybersecurity for autonomous technologies.
Research Focus
Key Achievements
Top Papers
- 1