Post-Quantum Homomorphic Encryption: A Case for Code-Based Alternatives
By: Siddhartha Siddhiprada Bhoi , Arathi Arakala , Amy Beth Corman and more
Potential Business Impact:
Keeps secrets safe from future super-computers.
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.
Similar Papers
Post-Quantum Cryptography: An Analysis of Code-Based and Lattice-Based Cryptosystems
Cryptography and Security
Makes secret codes safe from future computers.
Complexity of Post-Quantum Cryptography in Embedded Systems and Its Optimization Strategies
Cryptography and Security
Makes computer codes safe from future quantum computers.
Efficient Quantum-Safe Homomorphic Encryption for Quantum Computer Programs
Quantum Physics
Lets computers do math on secret quantum data.