Multi-Party Cryptographic Key Distribution Protocol over a Public Network Based on a Quick-Response Code.

Area of Science:

• Quantum Information Science
• Cryptography
• Optical Imaging

Background:

• Existing cryptographic key distribution (CKD) protocols using computational ghost imaging (CGI) often overlook multi-user interactions and are susceptible to channel noise.
• These limitations hinder the practical application of CGI-based CKD in complex network environments.

Purpose of the Study:

• To propose a novel multi-party interactive CKD protocol designed for public networks.
• To address the limitations of existing protocols by incorporating fragment patterns (FPs) and enhancing robustness against noise and attacks.

Main Methods:

• A server splits a QR code into multiple FPs, embedding distinct watermark labels.
• Computational ghost imaging (CGI) is used to acquire bucket value sequences for each FP.
• Users reconstruct FPs, authenticate the channel via watermarks, and extract cryptographic keys from the cascaded FPs.

Main Results:

• The proposed protocol successfully enables multi-party interaction and self-authentication over a public network.
• Both simulation and experimental results validate the protocol's feasibility and effectiveness.
• The study investigates the protocol's resilience to various attacks and its noise robustness.

Conclusions:

• The developed multi-party interactive CKD protocol offers a significant improvement over existing methods.
• The use of fragment patterns and CGI provides a secure and robust solution for key distribution in public networks.
• This research paves the way for more secure and interactive cryptographic key exchange systems.