Anonymization techniques are widely used to make personal data broadly available for
analytics/data-mining purposes while preserving the privacy of the personal information …

Cloud file access is the most widely used peer-to-peer (P2P) application, in which users
share their data and other users can access it via P2P networks. The need for security in the …

The exponential growth of Internet of Things (IoT) devices has ushered in an era of vast data
generation, necessitating abundant resources for data storage and processing. Cloud …

Cloud computing is internet-distributed computing model transferring processes from
personal computers or servers to cloud servers. Nowadays, security and performance of …

With the emergence of cloud technologies, the services of healthcare systems have grown.
Simultaneously, machine learning systems have become important tools for developing …

In order to safeguard confidentiality of patient data, healthcare data should not be made
available to unauthorized individuals. By 2030, the so-called sixth generation (6G) of …

Wireless Network Coding System encrypts data as it travels via intermediate nodes for
secure data transmission, Wormhole attackers choose one of the nodes to target. The …

A key concern in large-scale dense wireless sensor networks is the efficient usage of energy
(WSNs). There is a better likelihood of redundant data due to more number of nodes within …

This paper suggests a new approach to enhancing waste classification performance using
deep learning algorithms. Specifically, the proposed approach integrates an autoencoder …

Electronic health records are rapidly becoming more prevalent in healthcare organizations.
They are being used to store and share patient data. Due to the increasing cost of …