Blockchain technology: security issues, healthcare applications, challenges and future trends
Blockchain technology provides a data structure with inherent security properties that
include cryptography, decentralization, and consensus, which ensure trust in transactions. It …
include cryptography, decentralization, and consensus, which ensure trust in transactions. It …
A systematic review of homomorphic encryption and its contributions in healthcare industry
K Munjal, R Bhatia - Complex & Intelligent Systems, 2023 - Springer
Cloud computing and cloud storage have contributed to a big shift in data processing and its
use. Availability and accessibility of resources with the reduction of substantial work is one of …
use. Availability and accessibility of resources with the reduction of substantial work is one of …
Homomorphic encryption and federated learning based privacy-preserving cnn training: Covid-19 detection use-case
Medical data is often highly sensitive in terms of data privacy and security concerns.
Federated learning, one type of machine learning techniques, has been started to use for …
Federated learning, one type of machine learning techniques, has been started to use for …
A systematic review on the status and progress of homomorphic encryption technologies
With the emergence of big data and the continued growth in cloud computing applications,
serious security and privacy concerns emerged. Consequently, several researchers and …
serious security and privacy concerns emerged. Consequently, several researchers and …
BFV-based homomorphic encryption for privacy-preserving CNN models
Medical data is frequently quite sensitive in terms of data privacy and security. Federated
learning has been used to increase the privacy and security of medical data, which is a sort …
learning has been used to increase the privacy and security of medical data, which is a sort …
Achieve efficient and privacy-preserving disease risk assessment over multi-outsourced vertical datasets
It is believed that online disease risk assessment system has great potential to alleviate the
medical treatment problems for the future smart city and communities, as it can excavate …
medical treatment problems for the future smart city and communities, as it can excavate …
Challenges and opportunities of amazon serverless lambda services in bioinformatics
R Crespo-Cepeda, G Agapito… - Proceedings of the 10th …, 2019 - dl.acm.org
Currently, several factors are moving biomedical research towards a (big) data-centred
science. This yields new challenges for computer science solutions when dealing with …
science. This yields new challenges for computer science solutions when dealing with …
NTTU: An area-efficient low-power NTT-uncoupled architecture for NTT-based multiplication
N Zhang, Q Qin, H Yuan, C Zhou, S Yin… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Large integer multiplication, or large degree polynomial multiplication, is the most time-
consuming operation in fully homomorphic encryption (FHE). Low area and power …
consuming operation in fully homomorphic encryption (FHE). Low area and power …
An extended review concerning the relevance of deep learning and privacy techniques for data-driven soft sensors
The continuously increasing number of mobile devices actively being used in the world
amounted to approximately 6.8 billion by 2022. Consequently, this implies a substantial …
amounted to approximately 6.8 billion by 2022. Consequently, this implies a substantial …
Protecting attacks on unmanned aerial vehicles using homomorphic encryption
MY Alzahrani, NA Khan, L Georgieva… - Indonesian Journal …, 2023 - researchportal.hw.ac.uk
With the exponential growth in the usage of unmanned aerial vehicles (UAV), often known
as drones, for military, civilian, and recreational purposes. Security of internal …
as drones, for military, civilian, and recreational purposes. Security of internal …