Advances in recent techniques for scientific data collection in the era of big data allow for the
systematic accumulation of large quantities of data at various data-capturing sites. Similarly …

The recent literature reveals a dichotomy formed by a coevolution between cryptography
and Artificial Intelligence (AI). This dichotomy consists of two sides, namely Crypto …

Patients often visit several hospitals to obtain medication, generating a significant volume of
data. Moreover, hospitals use different data analytic techniques to improve healthcare …

Abstract The Electric Vehicle Parking Lot (EVPL) aims to address the growing demand for
EV charging infrastructure. EVs connected to EVPLs have extended access times compared …

As the world grapples with the COVID-19 and its variants, multi-user collaboration by means
of cloud computing is ubiquitous. How to make better use of cloud resources while …

In many industrial Internet of Things application schemes, participants, such as IoT devices,
often share information with each others for analysis and categorization purpose. Through …

Fully homomorphic encryption (FHE) is capable of handling sensitive encrypted data in
untrusted computing environments. The efficient application of FHE schemes in secure …

Abstract In the Internet of Medical Things (IoMT), developing models using machine learning
algorithms can detect and assist users effectively in identifying health issues. Due to the risk …

Discrete logarithmic pseudorandom number generators are a prevailing class of
cryptographically-secure pseudorandom number generators (CSPRNGs). In generators of …

We propose a privacy-preserving machine learning scheme based on the cloud-edge–end
architecture to address issues like weak computing power of Internet of Things (IoT) …