Aditya Bhatt
Papers
1
Total Citations
6
H-Index
1
About
Dr. Aditya Bhatt is a leading researcher at the intersection of cybersecurity, healthcare systems, and artificial intelligence, with a primary focus on securing next-generation medical networks. His most cited work, "DL-Based DDoS Attack Detection in SDN-Assisted Healthcare 4.0 Telesurgery Networks" (2024, 6 citations), represents a pivotal contribution to the field of smart healthcare security. In this paper, Bhatt addresses the critical vulnerability of telesurgery networks—a cornerstone of Healthcare 4.0—by developing a deep learning framework capable of detecting Distributed Denial of Service (DDoS) attacks in real-time within Software-Defined Networking (SDN) environments. This work is particularly significant as it tackles the life-or-death implications of network disruptions in remote surgical procedures. By integrating advanced machine learning with network orchestration, Bhatt has provided a foundational solution for ensuring the reliability and safety of telemedicine infrastructure. His research demonstrates a keen understanding of how emerging technologies can be both an enabler and a risk vector, positioning him as a vital voice in the ongoing effort to build resilient, secure digital healthcare ecosystems.
Research Focus
Key Achievements
Top Papers
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