Results 61 to 70 of about 1,675 (182)

Weed Detection in Wheat Crops Using Image Analysis and Artificial Intelligence (AI)

Applied Sciences, 2023
In the present study, we used device visualization in tandem with deep learning to detect weeds in the wheat crop system in actual time. We selected the PMAS Arid Agriculture University research farm and wheat crop fields in diverse weather environments ...
Syed Ijaz Ul Haq, Muhammad Naveed Tahir, Yubin Lan   +2 more
doaj   +1 more source

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

An Examination of Multi-Key Fully Homomorphic Encryption and Its Applications

Mathematics, 2022
With the rapid development of the Internet of Things (IoT) technology, the security problems it faces are increasingly prominent and have attracted much attention in industry and the academy.
Minghao Yuan, Dongdong Wang, Feng Zhang, Shenqing Wang, Shan Ji, Yongjun Ren   +5 more
doaj   +1 more source

TFHE-rs: A library for safe and secure remote computing using fully homomorphic encryption and trusted execution environments

Array, 2022
Fully Homomorphic Encryption (FHE) and Trusted Execution Environ-ments (TEEs) are complementing approaches that can both secure computa-tions running remotely on a public cloud.
Lars Brenna, Isak Sunde Singh, Håvard Dagenborg Johansen, Dag Johansen   +3 more
doaj   +1 more source

Efficient Homomorphic Integer Computer from CKKS

Transactions on Cryptographic Hardware and Embedded Systems
As Fully Homomorphic Encryption (FHE) enables computation over encrypted data, it is a natural question of how efficiently it handles standard integer computations like 64-bit arithmetic.
Jaehyung Kim
doaj   +1 more source

Privacy-preserving association rule mining via multi-key fully homomorphic encryption

Journal of King Saud University: Computer and Information Sciences, 2023
Association rule mining is an efficient method to mine the association relationships between different items from large transaction databases, but is vulnerable to privacy leakage as operates over users’ sensitive data directly.
Peiheng Jia, Jie Zhang, Bowen Zhao, Hongtao Li, Ximeng Liu   +4 more
doaj   +1 more source

Liberating TFHE: Programmable Bootstrapping with General Quotient Polynomials [PDF]

, 2023
All known instantiations for fully homomorphic encryption (FHE) produce noisy ciphertexts and rely on a technique called bootstrapping to reduce the noise so as to enable an arbitrary number of homomorphic operations.
Michael Walter, Marc Joye
core  

Multi-Key Homomorphic Encryption from TFHE

, 2019
In this paper, we propose a Multi-Key Homomorphic Encryption (MKHE) scheme by generalizing the low-latency homomorphic encryption by Chillotti et al. (ASIACRYPT 2016). Our scheme can evaluate a binary gate on ciphertexts encrypted under different keys followed by a bootstrapping.
Hao Chen 0030, Ilaria Chillotti, Yongsoo Song   +2 more
openaire   +3 more sources

On Side-Channel and CVO Attacks against TFHE and FHEW [PDF]

, 2022
The recent work of Chaturvedi et al. (ePrint 2022/685) claims to observe leakage about secret information in a ciphertext of TFHE through a timing side-channel on the (untrusted) server.
Michael Walter
core  

Designing a General-Purpose 8-bit (T)FHE Processor Abstraction

Transactions on Cryptographic Hardware and Embedded Systems
Making the most of TFHE programmable bootstrapping to evaluate functions or operators otherwise challenging to perform with only the native addition and multiplication of the scheme is a very active line of research.
Daphné Trama, Aymen Boudguiga, Pierre-Emmanuel Clet, Renaud Sirdey, Nicolas Ye   +4 more
doaj   +1 more source