Zobrazeno 1 - 10
of 1 210
pro vyhledávání: '"SECURE MULTIPARTY COMPUTATION"'
Publikováno v:
Heliyon, Vol 10, Iss 14, Pp e34458- (2024)
Blockchain technology is a key technology in the current information field and has been widely used in various industries. Blockchain technology faces significant challenges in privacy protection while ensuring data immutability and transparency, so
Externí odkaz:
https://doaj.org/article/f9ea35bb26de4610a33a83a37b9424c1
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 13, Iss 1, Pp 1-13 (2024)
Abstract Cloud computing has data leakage from all parties, security protection of private data, and existing solutions do not provide a trade-off between security and overhead. With distributed data communication due to data barriers, information in
Externí odkaz:
https://doaj.org/article/c15f380a44a44738a4e77e53227a4ec2
Publikováno v:
Applied Sciences, Vol 14, Iss 19, p 8959 (2024)
Federated learning is a decentralized privacy-preserving mechanism that allows multiple clients to collaborate without exchanging their datasets. Instead, they jointly train a model by uploading their own gradients. However, recent research has shown
Externí odkaz:
https://doaj.org/article/95267793bd004d518e239e85a086e2c4
Publikováno v:
Applied Sciences, Vol 14, Iss 17, p 7891 (2024)
In Secure Multiparty Computation (MPC or SMPC), functions are evaluated in encrypted peer-to-peer networks without revealing the private inputs of the participating parties. The median is a non-trivial computation in MPC and is particularly relevant
Externí odkaz:
https://doaj.org/article/e68ec43d8f1641c0bfbb3ca9dcc92712
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 2, Pp 101923- (2024)
In the era of internet-based data, recommendation systems are crucial for helping users access personalized content and facilitating business promotion and sales. Recommendation systems based on social relationships have gained popularity due to thei
Externí odkaz:
https://doaj.org/article/39324015f8044d0c8150b327eb3faee7
Publikováno v:
Applied Sciences, Vol 14, Iss 12, p 5354 (2024)
We introduce an innovative approach for secure communication in the Internet of Things (IoT) environment using a one-time pad (OTP) protocol. This protocol is augmented by incorporating a secure multiparty sum protocol to produce OTP keys from genuin
Externí odkaz:
https://doaj.org/article/e2aaf477ca554fbba34e6480329324d9
Autor:
Pierpaolo Loreti, Lorenzo Bracciale, Emanuele Raso, Giuseppe Bianchi, Eleonora Riva Sanseverino, Pierluigi Gallo
Publikováno v:
IEEE Access, Vol 11, Pp 120666-120679 (2023)
In the past few years, blockchain technology has emerged in numerous smart grid applications, enabling the construction of systems without the need for a trusted third party. Blockchain offers transparency, traceability, and accountability, which let
Externí odkaz:
https://doaj.org/article/a3d030120db84993b90293c6fb38054c
Publikováno v:
IEEE Access, Vol 11, Pp 9368-9388 (2023)
Reputation management systems are essential for establishing trust among network users. They are tools for reinforcing cooperation and sanctioning malicious behavior. This importance becomes a requirement in decentralized environments such as mobile
Externí odkaz:
https://doaj.org/article/b6af17eb31944ff087c98b97ade93030
Publikováno v:
Genome Biology, Vol 24, Iss 1, Pp 1-18 (2023)
Abstract Secure multiparty computation (MPC) is a cryptographic tool that allows computation on top of sensitive biomedical data without revealing private information to the involved entities. Here, we introduce Sequre, an easy-to-use, high-performan
Externí odkaz:
https://doaj.org/article/9d674d852f104109871e3c057bd1f0f8
Publikováno v:
Cryptography, Vol 7, Iss 4, p 61 (2023)
Garbled circuit (GC) is one of the few promising protocols to realize general-purpose secure computation. The target computation is represented by a Boolean circuit that is subsequently transformed into a network of encrypted tables for execution. Th
Externí odkaz:
https://doaj.org/article/b7e470f8286b4c4abdeae47c844f0f83