Zobrazeno 1 - 10
of 16 922
pro vyhledávání: '"Privacy preserving"'
An efficient certificateless anonymous signcryption communication scheme for vehicular adhoc network
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Certificateless public key infrastructure (PKI) avoids the key escrow problem associated with identity-based PKI and has recently been widely employed in anonymous communication schemes for vehicular adhoc networks (VANETs). In existing cert
Externí odkaz:
https://doaj.org/article/101af5dac59c4cfa97cfbf98f08441b4
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Spurred by the simultaneous need for data privacy protection and data sharing, federated learning (FL) has been proposed. However, it still poses a risk of privacy leakage in it. This paper, an improved Differential Privacy (DP) algorithm to
Externí odkaz:
https://doaj.org/article/594f7e8f00cf4348aefcb659af707a77
Publikováno v:
工程科学学报, Vol 46, Iss 11, Pp 2085-2098 (2024)
In the era of national big data strategies and burgeoning data markets, privacy-preserving databases play a crucial role in establishing an environment that is open, shared, and governed. Central to the construction of such databases is searchable en
Externí odkaz:
https://doaj.org/article/243b8df8718548179d44ee7f55791a38
Publikováno v:
Digital Communications and Networks, Vol 10, Iss 5, Pp 1211-1220 (2024)
Zero trust architecture is an end-to-end approach for server resources and data security which contains identity authentication, access control, dynamic evaluation, and so on. This work focuses on authentication technology in the zero trust network.
Externí odkaz:
https://doaj.org/article/fbe1da169b13409992ec0b0fcba09301
Autor:
Vankamamidi S. Naresh, Ayyappa D
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 13, Iss 1, Pp 1-21 (2024)
Abstract This study proposes a Privacy-Preserving Deep Neural Network for Credit Risk Prediction (PPDNN-CRP) framework that leverages homomorphic encryption (HE) to ensure data privacy throughout the credit risk prediction process. The PPDNN-CRP fram
Externí odkaz:
https://doaj.org/article/757faa090808416b9ce1a862477ca0ff
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-17 (2024)
Abstract With the rapid development of the civil aviation industry, the demand for secure sharing of civil aviation data is increasing. As a global platform for secure sharing of civil aviation data, the security of the System Wide Information Manage
Externí odkaz:
https://doaj.org/article/17f1af14b21d4c6889de529e3ac8fcd2
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-23 (2024)
Abstract Expert system recommendation assists the healthcare system to develop in real-time monitoring and diagnosis of patient conditions over several healthcare institutions. Privacy concerns, however, present significant problems since patient dat
Externí odkaz:
https://doaj.org/article/6062f6f49d214526a1db11257c776222
IDENTITY-BASED PRIVACY-PRESERVING ANONYMOUS AUTHENTICATION ACCESS CONTROL FOR SECURE CLOUD COMPUTING
Publikováno v:
Proceedings on Engineering Sciences, Vol 6, Iss 3, Pp 1327-1336 (2024)
The storage of data with access controllability in sharing data between multiple users in a dispersed environment is now the most pressing issue in cloud computing. Cloud computing's unique feature allows its subscribers to exchange and manage their
Externí odkaz:
https://doaj.org/article/4834d7a32a054ed5a03cb5920862a702
Autor:
A. Anil Sinaci, Mert Gencturk, Celia Alvarez-Romero, Gokce Banu Laleci Erturkmen, Alicia Martinez-Garcia, María José Escalona-Cuaresma, Carlos Luis Parra-Calderon
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 24, Iss , Pp 136-145 (2024)
Objective: This paper introduces a privacy-preserving federated machine learning (ML) architecture built upon Findable, Accessible, Interoperable, and Reusable (FAIR) health data. It aims to devise an architecture for executing classification algorit
Externí odkaz:
https://doaj.org/article/c4b3e00abe854c439527de20564ff355
Publikováno v:
Digital Communications and Networks, Vol 10, Iss 4, Pp 895-903 (2024)
Nowadays, Internet of Things (IoT) is widely deployed and brings great opportunities to change people's daily life. To realize more effective human-computer interaction in the IoT applications, the Question Answering (QA) systems implanted in the IoT
Externí odkaz:
https://doaj.org/article/4e121b9d3afe4d1786fbb029952073fe