Results 71 to 80 of about 412,934 (237)

2 Public Key Encryption Using the Squaring Function First Attempt

, 2008
In the encryption we’ve been doing so far, the sender and the recipient needed to preagree on a key. This is traditionally called “symmetric ” or “secret-key ” encryption. The idea of public key encryption is that I can walk into a room, announce my key,
Public Key Vs. Symmetric Encryption
core  

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

Advanced Engineering Materials, EarlyView.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani, Mohamed‐Ali Belloum, Laurence Boudet, Valentin Fouillard, Edwin Friedmann, Guillaume Lacharme, Ali Mahmoud, Jean‐Philippe Poli   +7 more
wiley   +1 more source

Implementation of Symmetric Encryption Algorithms [PDF]

, 2017
Cryptography considered being the most vital component in information security because it is responsible for securing all information passed through networked computers.
Hussain, Haider Noori, Hussein, Waleed Noori   +1 more
core   +1 more source

Research on symmetric fuzzy search of medical data outsourcing system under intelligent network

EURASIP Journal on Wireless Communications and Networking, 2018
Intelligent networks have developed rapidly in various fields of the world today. As a popular network technology, they have broad application prospects in the fields of telemedicine and health monitoring. The application of this technology has important
Huiqi Zhao, Qian Chen, Yinglong Wang, Minglei Shu   +3 more
doaj   +1 more source

Symmetric-Key Encryption Based on Bioaffinity Interactions

, 2019
The research presented here shows a bridge between biochemistry and cryptography. Enzyme-based assays were used in a new methodology linked to ciphers and cipher systems. Three separate enzyme assays, alkaline phosphatase (ALP) (E.C.
Leif K. McGoldrick, Jan Halámek, Leif K. McGoldrick (6934094), Elizabeth A. Weiss, Jan Halámek (1269210), Elizabeth A. Weiss (6934097)   +5 more
core   +1 more source

A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys

Advanced Engineering Materials, EarlyView.
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin, Marta Campolucci, Nicolas de Andrade Ishiki, Nathan Mirgot, Nadir Zhamantay, Frédéric Kanoufi, Jennifer Peron, Jean Charlety, Emiliano Fonda, Valérie Briois, Marco Faustini, Maria‐Letizia De Marco, Christine Goyhenex, Ovidiu Ersen, Hervé Bulou   +14 more
wiley   +1 more source

Designing Advanced Cryptographic Solutions for Cloud Storage Security through Dual-Layer Encryption Protocols

Proceedings of the International Conference on Applied Innovations in IT
This paper presents a novel hybrid cryptosystem combining ElGamal and ChaCha20-Poly1305 for securing data in cloud storage environments. Elgamal, an asymmetric encryption algorithm is utilized for secure key exchange to ensure the safe transmission of ...
Paul Kobina Arhin Jnr, James Ben Hayfron-Acquah, Frimpong Twum, Alfred Kumah   +3 more
doaj   +1 more source

Optoelectronic Synaptic Devices Using Molecular Telluride Phase‐Change Inks for Three‐Factor Learning

Advanced Functional Materials, EarlyView.
Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner, Dhananjeya Kumaar, Giacomo Torti, Killian Keller, Till Zellweger, Florian M. Schenk, Christoph Weilenmann, Daniel Chelladurai, Vara Prasad Jonnalagadda, Ghazi Sarwat Syed, Vanessa Wood, Jürg Leuthold, Alexandros Emboras, Maksym Yarema, Mathieu Luisier   +14 more
wiley   +1 more source

An Edible Chitosan‐Based Acoustic Sensor for Sound‐Responsive Actuation in Edible Robots

Advanced Functional Materials, EarlyView.
This study introduces an edible acoustic sensor for robotic food and edible robotics. Built from a chitosan piezoelectric film between gold electrodes, the sensor enables acoustic communication through ON/OFF keying. Integrated into an edible robot with pneumatically actuated arms and neck, it responds to high‐frequency tones.
Valerio Francesco Annese, Bokeon Kwak, Gaia de Marzo, Giulia Coco, Valentina Antonaci, Leonardo Lamanna, Massimo De Vittorio, Dario Floreano, Mario Caironi   +8 more
wiley   +1 more source

Light‐Induced Field‐Tunneling Synapses in Solution‐Processed Van Der Waals Heterostructures for Scalable, Retina‐Inspired Optical Sensing

Advanced Functional Materials, EarlyView.
A scalable, solution‐processed WSe2/ZrO2‐x van der Waals heterostructure realizes a light‐induced field‐tunneling synapse (LIFTS) that activates exclusively under bright illumination, emulating the photopic adaptation of the human retina at the device level.
Kijeong Nam, Jihyun Kim, Soobeen Ji, In Soo Kim, Sejin Kim, Eungseon Yeon, Do Kyung Hwang, Iva Plutnarová, Zdeněk Sofer, Sang Min Won, Joohoon Kang   +10 more
wiley   +1 more source