Zobrazeno 1 - 10
of 5 256
pro vyhledávání: '"Privacy Preservation"'
Autor:
Himani Saini, Gopal Singh, Sandeep Dalal, Iyyappan Moorthi, Sultan Mesfer Aldossary, Nasratullah Nuristani, Arshad Hashmi
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 13, Iss 1, Pp 1-31 (2024)
Abstract The rapid adoption of cloud-based data sharing is transforming collaboration across various sectors, yet ensuring trust and privacy in sensitive data remains a critical challenge. This paper presents a hybrid model aimed at enhancing data pr
Externí odkaz:
https://doaj.org/article/49d149bc458f4f3092ac2b6862fc0ff9
Autor:
Genadiy Zhyrov, Salih Mahmoud Attya, Doaa Ali Jumaa, Noora Nazar Kamal Hwezy, Wafaa Adnan Sajid, Ali Mohammed Khaleefah, Haider Ali
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 36, Iss 1, Pp 390-399 (2024)
Background: The digitization of healthcare data has made significant progress in medical research and personalized medicine. Nonetheless, conventional centralized data-sharing structures present primary obstacles to information privacy and security d
Externí odkaz:
https://doaj.org/article/c23073f473be4b738dbc3058fb85346d
Publikováno v:
Intelligent and Converged Networks, Vol 5, Iss 3, Pp 192-206 (2024)
In crowdsourced federated learning, differential privacy is commonly used to prevent the aggregation server from recovering training data from the models uploaded by clients to achieve privacy preservation. However, improper privacy budget settings a
Externí odkaz:
https://doaj.org/article/4b103e3a4bd448adbf5e2eb27252c66e
Autor:
Samuel Akwasi Frimpong, Mu Han, Emmanuel Kwame Effah, Joseph Kwame Adjei, Isaac Hanson, Percy Brown
Publikováno v:
Blockchain: Research and Applications, Vol 5, Iss 4, Pp 100233- (2024)
This paper addresses the critical challenge of privacy in Online Social Networks (OSNs), where centralized designs compromise user privacy. We propose a novel privacy-preservation framework that integrates blockchain technology with deep learning to
Externí odkaz:
https://doaj.org/article/76b165d0cc6e4c64b6fb527af14f61a3
Publikováno v:
Heritage, Vol 7, Iss 6, Pp 3332-3349 (2024)
Neural radiance fields have emerged as a dominant paradigm for creating complex 3D environments incorporating synthetic novel views. However, 3D object removal applications utilizing neural radiance fields have lagged behind in effectiveness, particu
Externí odkaz:
https://doaj.org/article/1e49d3c8e2bf4a859fe97e93771527d9
Publikováno v:
Baghdad Science Journal, Vol 21, Iss 10 (2024)
Location privacy protection has drawn increasing attention with the popularity of location-based services. This study proposes a context-aware location privacy protection method (CA-LP). CA-LP evaluates users' location privacy needs by mining their h
Externí odkaz:
https://doaj.org/article/8bc8a90873444b06a8bb31f327ff60b9
Autor:
Michael J. Eckrote, Carrie M. Nielson, Mike Lu, Tyler Alexander, Rikisha Shah Gupta, Kim Wah Low, Zhiwei Zhang, Austin Eliazar, Reyna Klesh, Andrew Kress, Matt Bryant, Alex Asiimwe, Nicolle M. Gatto, Nancy A. Dreyer
Publikováno v:
Contemporary Clinical Trials Communications, Vol 41, Iss , Pp 101354- (2024)
In drug development, the use of real-world data (RWD) has augmented our understanding of patients’ health care experiences and the effects of treatments beyond clinical trials. Although electronic health record (EHR) data integration at clinical tr
Externí odkaz:
https://doaj.org/article/a59ff5c32e22499a909e1901e20a6b10
Autor:
Lilian Mutalemwa
Publikováno v:
Journal of Telecommunications and Information Technology, Vol 3, Iss 3 (2024)
Due to the open nature of wireless channels and sensor node resource constraints, it is challenging to secure the communication in wireless sensor networks (WSNs) while simultaneously protecting the privacy of node location data. Therefore, a signifi
Externí odkaz:
https://doaj.org/article/348b73bf7b9e40e7aa422638e8ab3736
Autor:
J.M. Auñón, D. Hurtado-Ramírez, L. Porras-Díaz, B. Irigoyen-Peña, S. Rahmian, Y. Al-Khazraji, J. Soler-Garrido, A. Kotsev
Publikováno v:
Data in Brief, Vol 55, Iss , Pp 110560- (2024)
Data sharing has facilitated the digitisation of society. We can access our bank accounts or make an appointment with our doctor anytime and anywhere. To achieve this, we have to share certain information, whether personal, professional, etc. This ma
Externí odkaz:
https://doaj.org/article/5f4cd22fe4404898a32e4729ed038d55
Autor:
Singh, Sandeep Kumar, Jenamani, Mamata
Publikováno v:
Business Process Management Journal, 2023, Vol. 30, Issue 1, pp. 239-269.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/BPMJ-11-2022-0558