Results 71 to 80 of about 24,321 (191)

Shift-Type Homomorphic Encryption and Its Application to Fully Homomorphic Encryption

, 2012
This work addresses the characterization of homomorphic encryption schemes both in terms of security and design. In particular, we are interested in currently existing fully homomorphic encryption (FHE) schemes and their common structures and security.
Armknecht, Frederik, Katzenbeisser, Stefan, Peter, Andreas   +2 more
openaire   +3 more sources

Federated Learning and 5G/6G‐Based Internet of Medical Things (IoMT): Applications, Key Enabling Technologies, Open Issues and Future Research Directions

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.
This review examines the integration of federated learning (FL) in the Internet of Medical Things (IoMT), enhanced by 5G/6G technologies, to improve healthcare systems with decentralized data processing, enhanced privacy, reduced latency, and efficient resource utilization, while addressing emerging challenges and future research directions.
Abdul Ahad, Kazi Istiaque Ahmed, Farhan Ullah, Muhammad Aman Sheikh, Mohammad Tahir, Mohammad Hayajneh, Ivan Miguel Pires   +6 more
wiley   +1 more source

Edge Computing in Healthcare Using Machine Learning: A Systematic Literature Review

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.
Three key parts of our review. This review examines recent research on integrating machine learning with edge computing in healthcare. It is structured around three key parts: the demographic characteristics of the selected studies; the themes, tools, motivations, and data sources; and the key limitations, challenges, and future research directions ...
Amir Mashmool, Giorgio Delzanno, Hamid Saadatfar, Aakash Ahmad, Rainer Koschke, Roohallah Alizadehsani, U. Rajendra Acharya, Daniele D'Agostino   +7 more
wiley   +1 more source

Fully Homomorphic Encryption

Proceedings of the 2nd international Conference on Big Data, Cloud and Applications, 2017
In this paper we consider fully homomorphic encryption based on the learning with errors problem. We present the problem as introduced by Oded Regev in 2009 and explain a simple public key cryptosystem based on it. We show how the scheme can be modified to be more suitable for homomorphic operations, and introduce bootstrapping, using the ideas ...
Ahmed El-Yahyaoui, Mohamed Dafir EC-Chrif El Kettani   +1 more
openaire   +3 more sources

Encrypted statistical machine learning: new privacy preserving methods [PDF]

, 2015
We present two new statistical machine learning methods designed to learn on fully homomorphic encrypted (FHE) data. The introduction of FHE schemes following Gentry (2009) opens up the prospect of privacy preserving statistical machine learning analysis
Aslett, Louis J. M., Esperança, Pedro M., Holmes, Chris C.   +2 more
core  

Trustworthy Federated Learning for Industrial IoT: Balancing Robustness and Fairness via Blockchain‐Based Reputation

Artificial Intelligence for Engineering, Volume 2, Issue 1, Page 67-77, March 2026.
This paper proposes Block‐FairFL, a Trustworthy Federated Learning framework empowered by Blockchain, to address the dual challenges of security and fairness in deploying AI for industrial engineering. ABSTRACT The integration of artificial intelligence into the industrial Internet of Things is pivotal for predictive maintenance and autonomous control.
Hui Li
wiley   +1 more source

Privacy-preserving approximate GWAS computation based on homomorphic encryption

BMC Medical Genomics, 2020
Background One of three tasks in a secure genome analysis competition called iDASH 2018 was to develop a solution for privacy-preserving GWAS computation based on homomorphic encryption.
Duhyeong Kim, Yongha Son, Dongwoo Kim, Andrey Kim, Seungwan Hong, Jung Hee Cheon   +5 more
doaj   +1 more source

Verifiable Rotation of Homomorphic Encryptions [PDF]

, 2009
Similar to verifiable shuffling (mixing), we consider the problem of verifiable rotating a given list of homomorphic encryptions. The offset by which the list is rotated (cyclic shift) should remain hidden. Basically, we will present zero-knowledge proofs of knowledge of a rotation offset and re-encryption exponents, which define how the input list is ...
Hoogh, de, S.J.A., Schoenmakers, B., Skoric, B., Villegas Bautista, J.A.   +3 more
openaire   +1 more source

AI and Big Data in Oncology: A Physician‐Centered Perspective on Emerging Clinical and Research Applications

Cancer Innovation, Volume 5, Issue 1, February 2026.
Artificial intelligence and big data platforms are transforming oncology clinical practice. This review proposes a physician‐centered framework to integrate AI tools with real‐world data, supporting more precise diagnosis, individualized treatment, and improved patient outcomes.
Binliang Liu, Qingyao Shang, Jun Li, Shuna Yao, Meishuo Ouyang, Yu Wang, Sheng Luo, Quchang Ouyang   +7 more
wiley   +1 more source

A Survey on Secure Computation Based on Homomorphic Encryption in Vehicular Ad Hoc Networks

Sensors, 2020
In vehicular ad hoc networks (VANETs), the security and privacy of vehicle data are core issues. In order to analyze vehicle data, they need to be computed.
Xiaoqiang Sun, F. Richard Yu, Peng Zhang, Weixin Xie, Xiang Peng   +4 more
doaj   +1 more source