معرفی
Christophe Kiennert is a Lecturer at Telecom SudParis (SCN department) and a researcher with SAMOVAR. His work focuses on cybersecurity, network security, and privacy-preserving technologies, with notable contributions to intrusion detection systems, game-theoretic security models, and secure e-learning platforms like TeSLA. He has published extensively on cloud security, authentication systems, and federated learning applications in 5G networks.
Research Themes:
- Cybersecurity & Network Defense: Focused on intrusion detection, IDS evaluation methodologies, and game-theoretic resource allocation strategies.
- Cloud Computing Security: Explores compliance auditing, data integrity in untrusted environments, and identity management.
- E-Learning Security: Developed trust-based assessment frameworks and privacy-preserving certification systems for education platforms.
- 5G & Federated Learning: Analyzes network intrusion detection challenges and secure token management in next-gen networks.
Recent Contributions: His 2024 work on federated learning-based intrusion detection for 5G and OpenID Connect token abuse prevention highlights current focus areas. Earlier projects include the TeSLA project's adaptive trust systems and game-theoretic models for cloud compliance (2016).
Labs & Collaborations: Active in SAMOVAR, collaborating on projects involving network simulation, secure SDN migration, and identity management systems.
