An Unbounded Fully Homomorphic Encryption Scheme Based on Ideal Lattices and Chinese Remainder Theorem
Zhiyong Zheng, Fengxia Liu, Kun Tian

TL;DR
This paper introduces a new unbounded fully homomorphic encryption scheme based on ideal lattices and the Chinese Remainder Theorem, enabling unlimited computations on encrypted data without bootstrapping.
Contribution
It presents a straightforward, noise-free unbounded FHE scheme that differs from Gentry's bootstrapping approach, solving longstanding open problems in homomorphic encryption.
Findings
Supports unlimited homomorphic computations without noise accumulation
Does not require bootstrapping for ciphertext refreshment
Based on ideal lattices and Chinese Remainder Theorem
Abstract
We propose an unbounded fully homomorphic encryption scheme, i.e. a scheme that allows one to compute on encrypted data for any desired functions without needing to decrypt the data or knowing the decryption keys. This is a rational solution to an old problem proposed by Rivest, Adleman, and Dertouzos \cite{32} in 1978, and to some new problems appeared in Peikert \cite{28} as open questions 10 and open questions 11 a few years ago. Our scheme is completely different from the breakthrough work \cite{14,15} of Gentry in 2009. Gentry's bootstrapping technique constructs a fully homomorphic encryption (FHE) scheme from a somewhat homomorphic one that is powerful enough to evaluate its own decryption function. To date, it remains the only known way of obtaining unbounded FHE. Our construction of unbounded FHE scheme is straightforward and noise-free that can handle unbounded homomorphic…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCryptography and Data Security · Coding theory and cryptography · Complexity and Algorithms in Graphs
