Results 101 to 110 of about 1,338 (191)
The research relies on machine learning-based Cluster Head (CH) selection and optimised Attribute-Based Encryption (ABE) with Homomorphic Encryption to improve data survivability in Unattended Wireless Sensor Networks (UWSNs).
Sivaraman, Haritha K; Raja Rajeswari College of Engineering, Bangalore, India +1 more
core +1 more source
This study addresses the sentiment classification of short texts in teaching evaluations. To mitigate concerns regarding data security in cloud-based sentiment analysis and to overcome the limited feature extraction capacity of traditional deep-learning ...
Siti Sarah Maidin +2 more
core +1 more source
В роботі проведено аналіз криптографічної стійкості частково гомоморфного відносно операції додавання алгоритму шифрування на основі еліптичних кривих. Показано складність вирішення задачі дискретного логарифмування на еліптичній кривій при використанні ...
Квєтний, Р. Н. +1 more
core
PFHE: partially homomorphic encryption on CNN inference [PDF]
Fully Homomorphic Encryption (FHE) enables secure computation on encrypted data, but its high computational overhead poses significant challenges for practical deep learning inference.
Dai, Bill
core
The emergence of quantum computing presents a critical challenge to the security of blockchain-based financial transactions, central bank digital currencies (CBDCs), and decentralized finance (DeFi).
Milad Rahmati, Nima Rahmati
doaj
Homomorphic encryption enables computations on encrypted data without accessing private keys, enhancing security in cloud environments. Without this technology, updates need to be performed on-premises or require transmitting private keys to the cloud ...
Serengil, Sefik Ilkin, Ozpinar, Alper
core
Enhancement of cryptography algorithms for security of cloud-based IoT with machine learning models. [PDF]
Qasem MA +5 more
europepmc +1 more source
A Hybrid Homomorphic Encryption approach for Federated Learning
A Aprendizagem Federada (FL) é uma abordagem de aprendizagem automática distribuída que permite o treino colaborativo de modelos sem necessidade de centralizar dados sensíveis, prometendo privacidade, embora se tenha demonstrado vulnerável a ataques de inferência de associação e de reconstrução de dados.
openaire +1 more source
Privacy and security enhancement in smart cities using advanced cryptographic techniques. [PDF]
More KD, Pramod D.
europepmc +1 more source
Threshold-adaptive pruning with multi-key homomorphic encryption for communication-efficient secure federated learning. [PDF]
Guo J, Liu R, Xing J.
europepmc +1 more source

