Results 81 to 90 of about 8,550 (197)

Towards Globally Optimized Hybrid Homomorphic Encryption - Featuring the Elisabeth Stream Cipher

, 2022
Hybrid Homomorphic Encryption (HHE) reduces the amount of computation client-side and bandwidth usage in a Fully Homomorphic Encryption (FHE) framework. HHE requires the usage of specific symmetric schemes that can be evaluated homomorphically efficiently.
Cosseron, Orel, Hoffmann, Clément, Méaux, Pierrick, Standaert, François-Xavier   +3 more
openaire   +2 more sources

Systematizing Genome Privacy Research: A Privacy-Enhancing Technologies Perspective

, 2018
Rapid advances in human genomics are enabling researchers to gain a better understanding of the role of the genome in our health and well-being, stimulating hope for more effective and cost efficient healthcare.
De Cristofaro, Emiliano, Malin, Bradley, Mittos, Alexandros   +2 more
core  

GuardML: Efficient Privacy-Preserving Machine Learning Services Through Hybrid Homomorphic Encryption

Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing
Comment: 10 pages, accepted at The 39th ACM/SIGAPP Symposium on Applied Computing (SAC ...
Eugene Frimpong, Khoa Nguyen, Mindaugas Budzys, Tanveer Khan, Antonis Michalas   +4 more
openaire   +2 more sources

A secure and efficient deep learning-based intrusion detection framework for the internet of vehicles

Scientific Reports
This swift growth in Internet of Vehicle (IoV) networks has created serious security issues, primarily in intrusion detection due to the fact that these are complex, dynamic, and large-scale networks.
Hasim Khan, Ghanshyam G. Tejani, Rayed AlGhamdi, Sultan Alasmari, Naveen Kumar Sharma, Sunil Kumar Sharma   +5 more
doaj   +1 more source

HYBRID ENCRYPTION BASED ON SYMMETRIC AND HOMOMORPHIC CIPHERS

IZVESTIYA SFedU. ENGINEERING SCIENCES, 2021
L.K. Babenko, Е.А. Tolomanenko
openaire   +2 more sources

Practical and Private Hybrid ML Inference with Fully Homomorphic Encryption

In contemporary cloud-based services, protecting users' sensitive data and ensuring the confidentiality of the server's model are critical. Fully homomorphic encryption (FHE) enables inference directly on encrypted inputs, but its practicality is hindered by expensive bootstrapping and inefficient approximations of non-linear activations.
Biswas, Sayan, Chartier, Philippe, Dhasade, Akash, Jurien, Tom, Kerriou, David, Kerrmarec, Anne-Marie, Lemou, Mohammed, Tranie, Franklin, de Vos, Martijn, Vujasinovic, Milos   +9 more
openaire   +2 more sources

Nostalgia Cipher: Can Filtered LFSRs Be Secure Again? An Application to Hybrid Homomorphic Encryption with Sub-50 ms Latency

IACR Transactions on Symmetric Cryptology
Linear Feedback Shift Registers (LFSRs) combined with non linear filtering functions have long been a fundamental design for stream ciphers, offering a wellunderstood structure that remains easy to analyze. However, the introduction of algebraic attacks
Nabil Chacal, Antonio Guimarães, Ange Martinelli, Pierrick Méaux, Romain Poussier   +4 more
doaj   +1 more source

Realizing Privacy-Preserving Machine Learning Through Hybrid Homomorphic Encryption

, 2023
The rising popularity of machine learning (ML) in modern day data analysis has allowed scientist, businesses and ordinary users to gain access to powerful tools, which provide accurate insight into complex data. However, as more research is done into ML, it has been noticed that standard ML models experience privacy leakage, which can jeopardize the ...
openaire   +1 more source

HHEML: Hybrid Homomorphic Encryption for Privacy-Preserving Machine Learning on Edge

Privacy-preserving machine learning (PPML) is an emerging topic to handle secure machine learning inference over sensitive data in untrusted environments. Fully homomorphic encryption (FHE) enables computation directly on encrypted data on the server side, making it a promising approach for PPML.
Chan, Yu Hin, Yang, Hao, Shen, Shiyu, Fan, Xingyu, Lyu, Shengzhe, Hung, Patrick S. Y., Cheung, Ray C. C.   +6 more
openaire   +2 more sources

Enhancing Medical Images Security and Efficiency With Adaptive Compressed Sensing and SHA-3 in Telemedicine

International Journal of Biomedical Imaging
Security issues of telemedicine-based secure transmission of medical images find a very thin line drawn between diagnostic acceptability and cybersecurity. Partial but imperfect solutions emerge. JPEG2000 and HEVC concentrate only on compression, failing
Ashraf Al Sharah, Hamza Abu Owida, Tareq A. Alawneh, Anas Quteishat, Suhaila Abuowaida, Nawaf Alshdaifat, Mutsam A. Jarajreh   +6 more
doaj   +1 more source