Vivian Ukamaka Ihekoronye

Papers

Total Citations

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About

Vivian Ukamaka Ihekoronye is a rising researcher at the intersection of cybersecurity, edge intelligence, and autonomous systems. Her work focuses on securing critical networked infrastructures, with a particular emphasis on unmanned aerial vehicle (UAV) networks. Her most cited paper, "Cyber Edge Intelligent Intrusion Detection Framework For UAV Network Based on Random Forest Algorithm" (2022, 23 citations), introduces a novel, lightweight intrusion detection system that leverages machine learning at the network edge to protect drone swarms from cyberattacks. This framework addresses the unique vulnerabilities of high-mobility UAVs deployed in time-critical operations such as security surveillance, disaster management, and search and rescue. By combining edge computing with the Random Forest algorithm, Ihekoronye’s work enables real-time threat detection without overburdening limited onboard resources. Her contributions are particularly significant as drone networks become integral to civilian and defense applications. With a growing citation footprint, Ihekoronye is establishing herself as a key voice in cyber-physical system security, bridging the gap between artificial intelligence and resilient autonomous operations. Her research offers practical, deployable solutions for safeguarding the next generation of intelligent, connected aerial systems.