Results 21 to 30 of about 1,338 (191)

FHE-Chaos NHCP: Developing a Novel Secure Framework for Cloud Computing Environment [PDF]

Journal of Computing and Communication, 2022
Cloud computing has gained attention in recent years, and it is now used to support many aspects of human life. The amount of data transmitted via the internet is getting bigger and bigger every day.
Diaa AbdElminaam, alsayed badr, Mostafa Abdullah Ibrahim   +2 more
doaj   +1 more source

Symmetrical Disguise: Realizing Homomorphic Encryption Services from Symmetric Primitives [PDF]

, 2023
Homomorphic Encryption (HE) is a modern cryptographic technique that allows direct computations on encrypted data. While relatively new to the mainstream debate, HE has been a solid topic in research for decades.
Frimpong, E., Michalas, A., Bakas, A.
core   +1 more source

User privacy prevention model using supervised federated learning‐based block chain approach for internet of Medical Things

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract This research focuses on addressing the privacy issues in healthcare advancement monitoring with the rapid establishment of the decentralised communication system in the Internet of Medical Things (IoMT). An integrated blockchain homomorphic encryption standard with an in‐build supervised learning‐based smart contract is designed to improvise ...
Chandramohan Dhasarathan, Mohammad Kamrul Hasan, Shayla Islam, Salwani Abdullah, Shailesh Khapre, Dalbir Singh, Abdulaziz A. Alsulami, Ali Alqahtani   +7 more
wiley   +1 more source

A Hybrid Privacy-Preserving Deep Learning Approach for Object Classification in Very High-Resolution Satellite Images

Remote Sensing, 2022
Deep learning (DL) has shown outstanding performances in many fields, including remote sensing (RS). DL is turning into an essential tool for the RS research community.
Wadii Boulila, Manel Khazri Khlifi, Adel Ammar, Anis Koubaa, Bilel Benjdira, Imed Riadh Farah   +5 more
doaj   +1 more source

An Efficient Ciphertext Retrieval Scheme Based on Homomorphic Encryption for Multiple Data Owners in Hybrid Cloud

IEEE Access, 2021
More and more individuals and enterprises outsource data and applications to cloud servers in recent years. Since the public cloud servers are not completely trusted, users usually encrypt important data before sending it to cloud servers.
Heng He, Renju Chen, Chengyu Liu, Ke Feng, Xiaohu Zhou   +4 more
doaj   +1 more source

Enhanced Homomorphic Encryption for Cloud Security Through Individual Optimization [PDF]

E3S Web of Conferences
Cloud computing is susceptible to a wide range of security issues since it is decentralized. Inappropriate actors may take advantage of these vulnerabilities. Using a method known as homomorphic encryption, which is a kind of encryption technology, it is
Radha Marepalli, Sunitha Vanamala, Manoj Kumar Konda, Venkata Rama Lakshmi Gundala, Prasanthi B.   +4 more
doaj   +1 more source

cuSCNN: A Secure and Batch-Processing Framework for Privacy-Preserving Convolutional Neural Network Prediction on GPU

Frontiers in Computational Neuroscience, 2021
The emerging topic of privacy-preserving deep learning as a service has attracted increasing attention in recent years, which focuses on building an efficient and practical neural network prediction framework to secure client and model-holder data ...
Yanan Bai, Yanan Bai, Quanliang Liu, Quanliang Liu, Wenyuan Wu, Yong Feng   +5 more
doaj   +1 more source

Privacy-preserving Linear Regression Scheme and Its Application [PDF]

Jisuanji kexue, 2022
Linear regression is an important and widely used machine learning algorithm.The training of linear regression model usually depends on a large amount of data.In reality,the data set is generally held by different users and contains their privacy ...
LYU You, WU Wen-yuan
doaj   +1 more source

HYBRID CRYPTO SYSTEM USING HOMOMORPHIC ENCRYPTION AND ELLIPTIC CURVE CRYPTOGRAPHY [PDF]

ICTACT Journal on Soft Computing, 2019
Providing security and privacy for the cloud data is one of the most difficult task in recent days. The privacy of the sensitive information ought to be protecting from the unauthorized access for enhancing its security.
R Hemanth Kumar, T Arvind, V Bharath Narayanan, Prabakeran Saravanan   +3 more
doaj   +1 more source

PRESAGE: PRivacy-preserving gEnetic testing via SoftwAre Guard Extension

BMC Medical Genomics, 2017
Background Advances in DNA sequencing technologies have prompted a wide range of genomic applications to improve healthcare and facilitate biomedical research.
Feng Chen, Chenghong Wang, Wenrui Dai, Xiaoqian Jiang, Noman Mohammed, Md Momin Al Aziz, Md Nazmus Sadat, Cenk Sahinalp, Kristin Lauter, Shuang Wang   +9 more
doaj   +1 more source