A Novel Edge Cache-Based Private Set Intersection Protocol via Lightweight Oblivious PRF.

Area of Science:

• Cryptography
• Distributed Computing
• Information Security

Background:

• Edge computing and IoT facilitate multi-party collaboration for information sharing.
• Increased collaboration in edge computing raises concerns about data leakage risks.
• Existing solutions may not adequately balance security, communication, and computational overhead.

Purpose of the Study:

• To propose an efficient multi-party private set intersection (MPSI) protocol.
• To enhance secure information resource sharing in edge computing environments.
• To apply the MPSI protocol to the commercial application of edge caching.

Main Methods:

• Developed an MPSI protocol utilizing a multi-point oblivious pseudorandom function (OPRF).
• Employed oblivious transfer (OT) and probe-and-XOR of strings (PaXoS) as core components.
• Designed a communication pattern where clients interact with a leader and a designated party.

Main Results:

• The protocol achieves one-sided malicious security.
• It offers an improved balance between communication and computational costs.
• Demonstrated efficiency through a specific client communication pattern.
• Enabled identification of common, frequently accessed items in edge caching without data disclosure.

Conclusions:

• The proposed MPSI protocol offers an efficient and secure solution for multi-party collaboration in edge computing.
• The application in edge caching allows for the discovery of common items while preserving data privacy.
• The protocol presents a practical approach to mitigating data leakage risks in collaborative environments.