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Post-Quantum Homomorphic Encryption: A Case for Code-Based Alternatives

Published: March 28, 2025 | arXiv ID: 2504.16091v1

By: Siddhartha Siddhiprada Bhoi , Arathi Arakala , Amy Beth Corman and more

Potential Business Impact:

Keeps secrets safe from future super-computers.

Business Areas:
Quantum Computing Science and Engineering

Homomorphic Encryption (HE) allows secure and privacy-protected computation on encrypted data without the need to decrypt it. Since Shor's algorithm rendered prime factorisation and discrete logarithm-based ciphers insecure with quantum computations, researchers have been working on building post-quantum homomorphic encryption (PQHE) algorithms. Most of the current PQHE algorithms are secured by Lattice-based problems and there have been limited attempts to build ciphers based on error-correcting code-based problems. This review presents an overview of the current approaches to building PQHE schemes and justifies code-based encryption as a novel way to diversify post-quantum algorithms. We present the mathematical underpinnings of existing code-based cryptographic frameworks and their security and efficiency guarantees. We compare lattice-based and code-based homomorphic encryption solutions identifying challenges that have inhibited the progress of code-based schemes. We finally propose five new research directions to advance post-quantum code-based homomorphic encryption.

Country of Origin
🇦🇺 Australia

Page Count
47 pages

Category
Computer Science:
Cryptography and Security