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An MLWE-Based Cut-and-Choose Oblivious Transfer Protocol
Yongli Tang1, Menghao Guo2, Yachao Huo3
1School of Software, Henan Polytechnic University, Jiaozuo 454000, China.
Entropy (Basel, Switzerland)
|September 27, 2024
Summary
This study introduces an efficient oblivious transfer protocol using the module-learning-with-errors (MLWE) problem, enhancing security and reducing computational and communication overheads compared to existing lattice-based methods.
Area of Science:
- Cryptography and Information Security
- Lattice-based Cryptography
- Quantum-Resistant Cryptography
Background:
- Existing lattice-based cut-and-choose oblivious transfer protocols often suffer from inefficiency due to reliance on the learning-with-errors (LWE) problem.
- The development of more efficient and secure cryptographic protocols is crucial for modern data protection.
Purpose of the Study:
- To propose an efficient cut-and-choose oblivious transfer protocol.
- To enhance security and reduce computational and communication complexities in oblivious transfer protocols.
Main Methods:
- Developed a novel protocol based on the module-learning-with-errors (MLWE) problem, a more difficult lattice problem.
- Integrated compression and decompression techniques into an LWE-based dual-mode encryption system to create an MLWE-based framework.
- Utilized the fast Fourier transform (FFT) to optimize polynomial modulo multiplication operations.
Main Results:
- The proposed protocol demonstrates enhanced security, reducible to the shortest independent vector problem (SIVP) on lattices, offering resistance to quantum attacks.
- Significant improvements in efficiency were achieved, reducing computational and communication overheads by at least a factor of 'n'.
- The protocol maintains optimal communication rounds even under malicious adversary attacks.
Conclusions:
- The MLWE-based oblivious transfer protocol offers a more efficient and secure alternative to existing LWE-based protocols.
- The use of advanced techniques like MLWE, compression/decompression, and FFT contributes to a robust and performant cryptographic solution.
- This research advances the field of quantum-resistant cryptography, providing practical improvements for secure communication.

