Results 81 to 90 of about 15,179 (189)

Secure Signal Processing Using Fully Homomorphic Encryption [PDF]

IET Information Security, 2015
In a world becoming dependent on cloud computing, multiple and many techniques are needed to meet security and privacy requirements. This study investigates using Fully Homomorphic Encryption (FHE) in the cloud for a set of signal processing algorithms. Using FHE provides a level of security and privacy for cloud computing.
Thomas Shortell, Ali Shokoufandeh
openaire   +1 more source

The Techniques for Arbitrary Secure Quering to Encrypted Cloud Database Using Fully Homomorphic Encryption

Безопасность информационных технологий, 2017
The processing of queries to an encrypted database without its decryption has been actively investigated recently by both cryptographers and database researchers.
Filipp B. Burtyka
doaj   +1 more source

Several plant self‐incompatibility systems may be controlled by atypical receptor–ligand interactions

The Plant Journal, Volume 126, Issue 1, April 2026.
SUMMARY Self‐incompatibility (SI) is the single most important mechanism utilized by flowering plants to avoid self‐fertilization, thus preventing inbreeding and promoting outcrossing. Many plant SI systems are genetically controlled by a multi‐allelic S‐locus, containing two tightly linked genes that encode the female and male S‐determinants.
Zongcheng Lin, Maurice Bosch, Vernonica E. Franklin‐Tong   +2 more
wiley   +1 more source

Secure Cloud Computing Using Homomorphic Encryption

Безопасность информационных технологий, 2013
The question of cloud security has become more significant with growing popularity of cloud computing. This article is dedicated to fully homomorphic encryption which is one of the most promising methods to reach the necessary level of privacy.
Alexander Olegovich Zhirov, Olga Vladimirovna Zhirova, Sergey Fedorovich Krendelev   +2 more
doaj  

Homomorphic Encryption for Confidential Statistical Computation: Feasibility and Challenges

Journal of Cybersecurity and Privacy
Statistical confidentiality focuses on protecting data to preserve its analytical value while preventing identity exposure, ensuring privacy and security in any system handling sensitive information.
Yesem Kurt Peker, Rahul Raj
doaj   +1 more source

A Proposed Fully Homomorphic for Securing Cloud Banking Data at Rest

UHD Journal of Science and Technology, 2020
Fully homomorphic encryption (FHE) reaped the importance and amazement of most researchers and followers in data encryption issues, as programs are allowed to perform arithmetic operations on encrypted data without decrypting it and obtain results ...
Zana Thalage Omar, Fadhil Salman Abed
doaj   +1 more source

Building an Intelligent Cardiovascular System Platform: Embedding Artificial Intelligence across All Facets of Cardiovascular Medicine

Advanced Intelligent Systems, Volume 8, Issue 3, March 2026.
This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong, Xingwei Zhao, Qiuting Li, Yang Yu, Chunxiang Zhang   +4 more
wiley   +1 more source

Simulation-Based Performance Validation of Homomorphic Encryption Algorithms in the Internet of Things

Future Internet, 2019
IoT systems consist of Hardware/Software systems (e.g., sensors) that are embedded in a physical world, networked and that interact with complex software platforms.
Johannes Kölsch, Christopher Heinz, Axel Ratzke, Christoph Grimm   +3 more
doaj   +1 more source

Towards Enhancing Healthcare Data Privacy: Integrating BioClinicalBERT With Polyalphabetic Cipher for Entity Recognition and Anonymization

Engineering Reports, Volume 8, Issue 3, March 2026.
This study presents a dual‐layered anonymization model combining BioClinicalBERT and polyalphabetic cipher to accurately identify and protect sensitive healthcare data. It achieves strong F1 scores while maintaining data utility, enabling privacy‐preserving clinical research compliant with GDPR and HIPAA regulations.
Deblina Mazumder Setu, Tania Islam, Md Maklachur Rahman, Samrat Kumar Dey   +3 more
wiley   +1 more source

Multi-Functional Homomorphic Encryption Method Based on Crowd Sensing Networks

IEEE Access
In response to the security and privacy issues associated with sensing devices in contemporary crowd sensing systems, the paper proposes a crowd sensing networks method based on the MFHE (the Multi-Functional Homomorphic Encryption) architecture.
Hui Chen, Xingyu Mou, Zixuan Wang, Tianting Wu, Xin Wang, Chengcheng Wang, Ruixiang Song, Lifang Song, Xiaoling Jiang, Xinjing Zhang, Yunfeng Li   +10 more
doaj   +1 more source