Inner product encryption from ring learning with errors [PDF]
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 +2 more sources
Revisiting Multivariate Ring Learning with Errors and Its Applications on Lattice-Based Cryptography [PDF]
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 +3 more sources
Using Ring Learning with Errors Problem to Construct Linkable Ring Signature Scheme
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
Distributed Identity Authentication with Lenstra–Lenstra–Lovász Algorithm–Ciphertext Policy Attribute-Based Encryption from Lattices: An Efficient Approach Based on Ring Learning with Errors Problem [PDF]
In recent years, research on attribute-based encryption (ABE) has expanded into the quantum domain. Because a traditional single authority can cause the potential single point of failure, an improved lattice-based quantum-resistant identity ...
Qi Yuan +6 more
doaj +2 more sources
CIDER: Cyber‐Security in Industrial IoT Using Deep Learning and Ring Learning with Errors
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
Multiparty Homomorphic Encryption from Ring-Learning-with-Errors [PDF]
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 ...
Christian Mouchet +3 more
openaire +1 more source
Non-commutative Ring Learning with Errors from Cyclic Algebras
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
Grover, Charles +3 more
openaire +4 more sources
Faster Homomorphic Trace-Type Function Evaluation
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
Fast Vector Oblivious Linear Evaluation from Ring Learning with Errors [PDF]
Oblivious linear evaluation (OLE) is a fundamental building block in multi-party computation protocols. In OLE, a sender holds a description of an affine function $f_α,β (z)=α z+β$, the receiver holds an input x, and gets α x+β$ (where all computations are done over some field, or more generally, a ring). Vector OLE (VOLE) is a generalization where the
de Castro, Leo +2 more
openaire +1 more source
The polynomial learning with errors problem and the smearing condition
As quantum computing advances rapidly, guaranteeing the security of cryptographic protocols resistant to quantum attacks is paramount. Some leading candidate cryptosystems use the learning with errors (LWE) problem, attractive for its simplicity and ...
Babinkostova Liljana +4 more
doaj +1 more source

