PhD Position in Efficient and Authenticated Private Set Intersection in Multi-Cloud Environments

This PhD position at IP. Paris focuses on enhancing Private Set Intersection (PSI) protocols to enable secure, authenticated data intersection across multi-cloud environments. PSI allows parties to determine shared data items without revealing private information, with applications in privacy-preserving data mining and secure contact discovery. The research will specifically investigate improvements using fully homomorphic encryption. The candidate will work under the supervision of Aymen Boudguiga at the LIST department, contributing to cutting-edge cryptographic solutions in secure multi-party computation.

• Develop and optimize cryptographic protocols for Private Set Intersection (PSI) in multi-cloud environments.
• Investigate improvements to PSI using fully homomorphic encryption techniques.
• Conduct theoretical and experimental research to enhance the efficiency and security of PSI protocols.
• Collaborate with industry and academic partners to explore real-world applications of PSI.
• Publish research findings in top-tier conferences and journals within the field of cybersecurity.
• Present research progress at academic conferences and workshops.