Results 81 to 90 of about 5,085 (174)

Reusable Garbled Turing Machines Without FHE

, 2019
Since Yao introduced the garbled circuit concept in 1980s, it has been an open problem to design efficient reusable garbled Turing machines/circuits. Recently, Goldwasser et al. and Garg et al. answered this question affirmatively by designing reusable garbled circuits and reusable garbled Turing machines.
Yongge Wang 0001, Qutaibah M. Malluhi
openaire   +2 more sources

Research on Noise Management Technology for Fully Homomorphic Encryption

IEEE Access
Fully homomorphic encryption (FHE) has gradually become an important tool for solving data security and privacy protection issues, because it supports arbitrary computation of encrypted data without the need for prior decryption.
Lifang Bai, Lijuan Bai, Yongjun Li, Zecun Li   +3 more
doaj   +1 more source

Feasibility Study of CUDA-Accelerated Homomorphic Encryption and Benchmarking on Consumer-Grade and Embedded GPUs

Big Data and Cognitive Computing
Fully Homomorphic Encryption (FHE) provides strong data confidentiality during computation but often suffers from high latency on Central Processing Units (CPUs).
Volodymyr Dubetskyy, Maria-Dolores Cano
doaj   +1 more source

A SECURE AND RELIABLE ROUTING PROTOCOL LEVERAGING FULLY HOMOMORPHIC ENCRYPTION AND TRUST-AWARE CLUSTERING

Mağallaẗ Al-kūfaẗ Al-handasiyyaẗ
Vehicular ad-hoc networks (VANETs) have the potential to revolutionize the transportation industry by enabling intelligent transportation systems and improving road safety.
Mahima S, Nithya N, J.Vijay Franklin, Saritha S, Nasurulla I   +4 more
doaj   +1 more source

Underwater image enhancement with fuzzy histogram equalization and adaptive color correction

IJAIN (International Journal of Advances in Intelligent Informatics)
Marine exploration continues to increase as new technologies, such as computer vision implemented in underwater vehicles and robots, develop. Identifying underwater objects is challenging due to environmental conditions, including poor lighting and color
Suharyanto Suharyanto, Pulung Nurtantio Andono, Ahmad Zainul Fanani, Pujiono Pujiono   +3 more
doaj   +1 more source

Analyzing Machine Learning Models for Activity Recognition Using Homomorphically Encrypted Real-World Smart Home Datasets: A Case Study

Applied Sciences
The era of digitization and IoT devices is marked by the constant storage of massive amounts of data. The growing adoption of smart home environments, which use sensors and devices to monitor and control various aspects of daily life, underscores the ...
Hasina Attaullah, Sanaullah Sanaullah, Thorsten Jungeblut   +2 more
doaj   +1 more source

Privacy and security enhancement in smart cities using advanced cryptographic techniques. [PDF]

Sci Rep
More KD, Pramod D.
europepmc   +1 more source

Patient safety incidents in mental health residential services: a multicenter, crosssectional, survey-based study. [PDF]

Front Psychiatry
Russotto S, Conti A, Inguaggiato L, Masini A, Mira JJ, Panella M.   +5 more
europepmc   +1 more source

SPHTRLM: secure and privacy-preserving hyperparameter-tuned reinforcement learning method for robot path finding in dynamic environments. [PDF]

Sci Rep
Dewangan RR, Thombre D, Parganiha V, Verma M, Pimpalkar A, Dewangan BK, Shelke N.   +6 more
europepmc   +1 more source

Homomorphic encryption enables privacy preserving polygenic risk scores. [PDF]

Cell Rep Methods
Knight E, Li J, Jensen M, Yolou I, Kockan C, Gerstein M.   +5 more
europepmc   +1 more source