Results 1 to 10 of about 22,131 (282)
The Ring-LWE Problem in Lattice-Based Cryptography: The Case of Twisted Embeddings
Several works have characterized weak instances of the Ring-LWE problem by exploring vulnerabilities arising from the use of algebraic structures. Although these weak instances are not addressed by worst-case hardness theorems, enabling other ring ...
Jheyne N. Ortiz +4 more
doaj +1 more source
Post-quantum encryption technology based on BRLWE for internet of things
With the development of quantum computers, the classical public key encryption system is not capable enough to guarantee the communication security of internet of things (IoT).Because the mathematical puzzles which post-quantum encryption algorithms are ...
Yitian GAO, Liquan CHEN, Tianyang TU, Yuan GAO, Qianye CHEN
doaj +3 more sources
The Ring Learning With Errors Problem: Spectral Distortion
We answer a question posed by Y. Elias et al. in [8] about possible spectral distortions of algebraic numbers. We provide a closed form for the spectral distortion of certain classes of cyclotomic polynomials. Moreover, we present a bound on the spectral distortion of cyclotomic polynomials.
Babinkostova, L. +4 more
openaire +2 more sources
NTRU-type fully homomorphic encryption scheme without key switching
In order to construct a fully homomorphic encryption scheme based on NTRU cryptosystem from ring learning with errors, noise growth and homomorphic property in the NTRU cryptosystem were analyzed. The con-cept of zero homomorphic encryption was introdced
Xin-xia SONG +2 more
doaj +3 more sources
Fast Number Theoretic Transform for Ring-LWE on 8-bit AVR Embedded Processor
In this paper, we optimized Number Theoretic Transform (NTT) and random sampling operations on low-end 8-bit AVR microcontrollers. We focused on the optimized modular multiplication with secure countermeasure (i.e., constant timing), which ensures high ...
Hwajeong Seo +6 more
doaj +1 more source
Lattice-Based Group Signature with Message Recovery for Federal Learning
Federal learning and privacy protection are inseparable. The participants in federated learning need to be the targets of privacy protection. On the other hand, federated learning can also be used as a tool for privacy attacks.
Yongli Tang +3 more
doaj +1 more source
This research provides an insight on the performances of machine learning (ML)-based algorithms for the estimation of the energy consumption in metal forming processes and is applied to the radial-axial ring rolling process.
Irene Mirandola +5 more
doaj +1 more source
Once the shared secret key is established, three parties can use it for secure communication using symmetric-key encryption AES (128, 192, 256) algorithms or other cryptographic primitives.
Dharminder Chaudhary +5 more
doaj +1 more source
Most previous RLWE-based multi-key homomorphic encryptions (MKHEs) need to perform complex relinearization operations on ciphertext products to complete the evaluation of circuits of bounded polynomial depth.
Xiaoliang Che +6 more
doaj +1 more source
Estimating the Security of Ring Learning with Errors (RLWE)
This article was written by my colleague, Cathie Yun. Cathie is an applied cryptographer and security engineer, currently working with me to make fully homomorphic encryption a reality at Google. She's also done a lot of cool stuff with zero knowledge proofs.
openaire +1 more source

