Rami Langar
Papers
1
Total Citations
3
H-Index
1
About
Rami Langar is a leading researcher in cybersecurity and next-generation wireless networks, with a focus on securing 5G vehicle-to-everything (V2X) communications. His work addresses critical vulnerabilities in intelligent transportation systems, particularly the detection and mitigation of distributed denial-of-service (DDoS) attacks that threaten connected vehicle safety. Langar’s most cited paper, "Detecting and Mitigating DDoS Attacks in 5G-V2X Networks: A Deep Learning-based Approach" (2025), introduces an innovative OpenAirInterface-based testbed that enables real-world cybersecurity experimentation in 5G-V2X environments. This work demonstrates dynamic resource allocation based on observed traffic patterns, providing a practical framework for defending against network-layer attacks in vehicular communications. With growing attention from the research community, his contributions are shaping the development of secure, resilient 5G infrastructures for autonomous and connected vehicles. Langar’s research bridges the gap between theoretical cybersecurity models and practical deployment, offering solutions that are immediately relevant to the evolving landscape of smart mobility and telecommunications.
Research Focus
Key Achievements
Top Papers
- 1