Results 1 to 10 of about 20,213 (147)

Inner product encryption from ring learning with errors [PDF]

open access: yesCybersecurity, 2020
The functional encryption scheme designed using the lattice can realize fine-grained encryption and it can resist quantum attacks. Unfortunately, the sizes of the keys and ciphertexts in cryptographic applications based on learning with errors are large,
Shisen Fang, Shaojun Yang, Yuexin Zhang
doaj   +4 more sources

Revisiting Multivariate Ring Learning with Errors and Its Applications on Lattice-Based Cryptography [PDF]

open access: yesMathematics, 2021
The “Multivariate Ring Learning with Errors” problem was presented as a generalization of Ring Learning with Errors (RLWE), introducing efficiency improvements with respect to the RLWE counterpart thanks to its multivariate structure.
Alberto Pedrouzo-Ulloa   +4 more
doaj   +5 more sources

Multiparty Homomorphic Encryption from Ring-Learning-with-Errors [PDF]

open access: yesProceedings on Privacy Enhancing Technologies, 2021
Abstract We propose and evaluate a secure-multiparty-computation (MPC) solution in the semi-honest model with dishonest majority that is based on multiparty homomorphic encryption (MHE). To support our solution, we introduce a multiparty version of the Brakerski-Fan-Vercauteren homomorphic cryptosystem and implement it in an open-source ...
Jean-Pierre Hubaux   +2 more
exaly   +3 more sources

Non-commutative Ring Learning with Errors from Cyclic Algebras

open access: yesJournal of Cryptology, 2022
AbstractThe Learning with Errors (LWE) problem is the fundamental backbone of modern lattice-based cryptography, allowing one to establish cryptography on the hardness of well-studied computational problems. However, schemes based on LWE are often impractical, so Ring LWE was introduced as a form of ‘structured’ LWE, trading off a hard to quantify loss
Cong Ling   +2 more
exaly   +5 more sources

Using Ring Learning with Errors Problem to Construct Linkable Ring Signature Scheme

open access: yesJisuanji kexue yu tansuo, 2020
In order to solve the problem of large key size and low efficiency in the linkable ring signature scheme on lattice, this paper reconstructs the linkable ring signature scheme from lattice based on the ring learning with errors (RLWE) problem, according ...
YE Qing, WANG Wenbo, LI Yingying, QIN Panke, ZHAO Zongqu, WANG Yongjun
doaj   +2 more sources

A Construction of Three Party Post Quantum Secure Authenticated Key Exchange Using Ring Learning With Errors and ECC Cryptography

open access: yesIEEE Access, 2023
A three-party authenticated key exchange protocol enables two entities to agree on a session key with the help of a dedicated server over a public channel. Shor’s algorithm is a big threat to existing authenticated key exchange protocols.
Dharminder Chaudhary   +2 more
doaj   +3 more sources

CIDER: Cyber‐Security in Industrial IoT Using Deep Learning and Ring Learning with Errors

open access: yesIET Cyber-Physical Systems
Traditional security measures such as access control and authentication need to be more effective against ever‐evolving threats. Moreover, security concerns increase as more industries shift towards adopting the industrial Internet of things (IIoT ...
Siu Ting Tsoi, Anish Jindal
doaj   +2 more sources

Post-Quantum Key Exchange for the TLS Protocol from the Ring Learning with Errors Problem

open access: yes2015 IEEE Symposium on Security and Privacy, 2015
Lattice-based cryptographic primitives are believed to offer resilience against attacks by quantum computers. We demonstrate the practicality of post-quantum key exchange by constructing cipher suites for the Transport Layer Security (TLS) protocol that provide key exchange based on the ring learning with errors (R-LWE) problem, we accompany these ...
Craig Costello   +2 more
exaly   +4 more sources

Faster Homomorphic Trace-Type Function Evaluation

open access: yesIEEE Access, 2021
Homomorphic encryption enables computations over encrypted data without decryption, and can be used for outsourcing computations to some untrusted source.
Yu Ishimaki, Hayato Yamana
doaj   +1 more source

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