معرفی
Nesrine KAANICHE is a Lecturer at Telecom SudParis, affiliated with the SAMOVAR research center. Her work focuses on cybersecurity, privacy-preserving technologies, and cloud computing security. She has contributed to numerous publications addressing topics such as federated learning fairness, 6G network security, blockchain-based auditing, and IoT privacy. Her research emphasizes practical solutions for data protection and secure communication in distributed systems.
Education: Ph.D. in Cryptography and Security from the National Institute of Telecommunications (2014), with a thesis titled Cloud data storage security based on cryptographic mechanisms.
Key Research Themes:
- Federated Learning: Developing frameworks like FADE to ensure fairness and privacy in decentralized machine learning.
- 6G Networks: Proposing zero-trust architectures and secure protocols for next-generation communication systems.
- Blockchain Applications: Designing BDUA and other systems for transparent data usage auditing.
- Privacy-Preserving Protocols: Innovations like PIMA and SPOT for identity management and e-healthcare systems.
Recent Contributions: Over 30 peer-reviewed articles since 2013, including work on intrusion detection systems, homomorphic proofs for data integrity, and secure cloud storage mechanisms. Her 2025 papers address cutting-edge challenges in federated learning fairness and AI-driven anomaly detection.
