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Secure Fully Homomorphic Authenticated Encryption

open access: yesIEEE Access, 2021
Homomorphic authenticated encryption allows implicit computation on plaintexts using corresponding ciphertexts without losing privacy, and provides authenticity of the computation and the resultant plaintext of the computation when performing a ...
Jeongsu Kim, Aaram Yun
exaly   +3 more sources

Potential of Homomorphic Encryption for Cloud Computing Use Cases in Manufacturing

open access: yesJournal of Cybersecurity and Privacy, 2023
Homomorphic encryption enables secure cloud computing over the complete data lifecycle. As so-called in-use encryption methodology, it allows using encrypted data for, e.g., data analysis—in contrast to classic encryption methods.
Robert H Schmitt   +2 more
exaly   +3 more sources

Homomorphic Encryption

open access: yesProcedia Computer Science, 2013
AbstractThe study of homomorphic encryption techniques has led to significant advancements in the computing domain, particularly in the sphere of cloud computing. Homomorphic encryption provides a means for securely transmitting and storing confidential information across and in a computer system.
Monique Ogburn   +2 more
exaly   +2 more sources

Towards Secure Big Data Analysis via Fully Homomorphic Encryption Algorithms

open access: yesEntropy, 2022
Privacy-preserving techniques allow private information to be used without compromising privacy. Most encryption algorithms, such as the Advanced Encryption Standard (AES) algorithm, cannot perform computational operations on encrypted data without first
Alzubair Hassan   +2 more
exaly   +3 more sources

Privacy Preserving Machine Learning with Homomorphic Encryption and Federated Learning

open access: yesFuture Internet, 2021
Privacy protection has been an important concern with the great success of machine learning. In this paper, it proposes a multi-party privacy preserving machine learning framework, named PFMLP, based on partially homomorphic encryption and federated ...
Quan Qian
exaly   +3 more sources

Privacy and correctness trade-offs for information-theoretically secure quantum homomorphic encryption [PDF]

open access: yesQuantum, 2023
Quantum homomorphic encryption, which allows computation by a server directly on encrypted data, is a fundamental primitive out of which more complex quantum cryptography protocols can be built.
Yanglin Hu   +2 more
doaj   +1 more source

Homomorphic Encryption on GPU

open access: yesIEEE Access, 2023
Homomorphic encryption (HE) is a cryptosystem that allows the secure processing of encrypted data. One of the most popular HE schemes is the Brakerski-Fan-Vercauteren (BFV), which supports somewhat (SWHE) and fully homomorphic encryption (FHE). Since overly involved arithmetic operations of HE schemes are amenable to concurrent computation, GPU devices
Ali Sah Özcan   +3 more
openaire   +5 more sources

Hardware acceleration of number theoretic transform for zk‐SNARK

open access: yesEngineering Reports, EarlyView., 2023
An FPGA‐based hardware accelerator with a multi‐level pipeline is designed to support the large‐bitwidth and large‐scale NTT tasks in zk‐SNARK. It can be flexibly scaled to different scales of FPGAs and has been equipped in the heterogeneous acceleration system with the help of HLS and OpenCL.
Haixu Zhao   +6 more
wiley   +1 more source

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

open access: yesCAAI 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   +7 more
wiley   +1 more source

NTRU-type fully homomorphic encryption scheme without key switching

open access: yes网络与信息安全学报, 2017
In order to construct a fully homomorphic encryption scheme based on NTRU cryptosystem from ring learning with errors, noise growth and homomorphic property in the NTRU cryptosystem were analyzed. The con-cept of zero homomorphic encryption was introdced
Xin-xia SONG   +2 more
doaj   +3 more sources

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