Results 81 to 90 of about 35,425 (325)
Joint Quantization and Diffusion for Compressed Sensing Measurements of Natural Images
, 2014 Recent research advances have revealed the computational secrecy of the compressed sensing (CS) paradigm. Perfect secrecy can also be achieved by normalizing the CS measurement vector.
Lin, Qiuzhen +3 more
core +1 more source
MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance
Advanced Functional Materials, EarlyView.Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley +1 more source
Grover on Korean Block Ciphers
Applied Sciences, 2020 The Grover search algorithm reduces the security level of symmetric key cryptography with n-bit security level to O(2n/2). In order to evaluate the Grover search algorithm, the target block cipher should be efficiently implemented in quantum circuits ...
Kyoungbae Jang +5 more
doaj +1 more source
The differential fault analysis on block cipher FeW
Cybersecurity, 2022 Feather weight (FeW) cipher is a lightweight block cipher proposed by Kumar et al. in 2019, which takes 64 bits plaintext as input and produces 64 bits ciphertext. As Kumar et al.
Haiyan Xiao, Lifang Wang, Jinyong Chang
doaj +1 more source
An Analysis Framework for Hardware and Software Implementations with Applications from Cryptography
, 2018 With the richness of present-day hardware architectures, tightening the synergy between hardware and software has attracted a great attention. The interest in unified approaches paved the way for newborn frameworks that target hardware and software co ...
Damaj, Issam, Kasbah, Safaa
core +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
INRU: A Quasigroup Based Lightweight Block Cipher
, 2021 In this paper, we propose a quasigroup based block cipher design. The round functions of the encryption and decryption algorithms use quasigroup based string transformations. We show the robustness of the design against the standard differential, linear and algebraic cryptanalytic attacks.
Tiwari, Sharwan K. +3 more
openaire +2 more sources
Small Scale AES Toolbox: Algebraic and Propositional Formulas, Circuit-Implementations and Fault Equations [PDF]
, 2016 Cryptography is one of the key technologies ensuring security in the digital domain. As such, its primitives and implementations have been extensively analyzed both from a theoretical, cryptoanalytical perspective, as well as regarding their ...
Becker, Bernd +7 more
core
Secure and Computationally-Efficient Cryptographic Primitive based on Cellular Automation
, 2019 Mageto, a random number generator based on one-dimensional cellular automaton (CA) is presented. Three procedures of secure implementation using Mageto is proposed and discussed. Implementations are very efficient in a wide range of hardware and software
Vuckovac, Rade
core +1 more source
Advanced Functional Materials, EarlyView.This study investigates electromechanical PUFs that improve on traditional electric PUFs. The electron transport materials are coated randomly through selective ligand exchange. It produces multiple keys and a key with motion dependent on percolation and strain, and approaches almost ideal inter‐ and intra‐hamming distances.
Seungshin Lim +7 more
wiley +1 more source