Legacy encryption systems depend on sharing a key (public or private) among the peers
involved in exchanging an encrypted message. However, this approach poses privacy …

Classical machine learning modeling demands considerable computing power for internal
calculations and training with big data in a reasonable amount of time. In recent years …

Blockchain technology plays a significant role in the industrial development. Many industries
can potentially benefit from the innovations blockchain decentralization technology and …

Satellite images have drawn increasing interest from a wide variety of users, including
business and government, ever since their increased usage in important fields ranging from …

Cloud computing is a major blooming technology which has numerous applications in
today's market and is rightly so hyped. Images are a major part of today's internet data traffic …

With the emergence of big data and the continued growth in cloud computing applications,
serious security and privacy concerns emerged. Consequently, several researchers and …

Deep learning (DL) has shown outstanding performances in many fields, including remote
sensing (RS). DL is turning into an essential tool for the RS research community. Recently …

With the increased need for data confidentiality in various applications of our daily life,
homomorphic encryption (HE) has emerged as a promising cryptographic topic. HE enables …

The recent increase in reported incidents of security breaches compromising users' privacy
call into question the current centralized model in which third-parties collect and control …

For securing our own systems, encryption got the major interest, especially when talking
about homomorphic encryption, which has spread like wildfire. Therefore, in this study, we …