Yeligeti Raju
Papers
1
Total Citations
7
H-Index
1
About
Yeligeti Raju is a researcher at the forefront of cybersecurity and the Internet of Things (IoT), with a focused interest in developing intelligent, secure frameworks for connected systems. His most-cited work, “Enhanced Secure Technique for Detecting Cyber Attacks Using Artificial Intelligence and Optimal IoT” (2022, 7 citations), introduces a novel approach that leverages artificial intelligence to autonomously detect and mitigate cyber threats in IoT environments. This research addresses a critical challenge: enabling IoT networks to supervise and control functions remotely while reacting intelligently to environmental changes, all without human intervention. By integrating AI-driven detection with optimal IoT configurations, Raju’s work strengthens the security posture of smart, autonomous systems. His contributions are particularly relevant as the proliferation of connected devices demands robust, scalable defenses against evolving cyber attacks. With growing recognition in the field, Raju continues to advance the intersection of AI and IoT security, offering practical solutions for safer, more resilient digital ecosystems.
Research Focus
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Top Papers
- 1