Botnets have emerged as a significant internet security threat, comprising networks of
compromised computers under the control of command and control (C&C) servers. These …

Mountainous amounts of information are now available in hospitals, finance, counter-
terrorism, education and many other sectors. Those information can offer a rich source for …

Privacy and Homomorphic Encryption are effective ways for securely evaluating network
records by encrypting them with a sophisticated cryptographic algorithm. This method …

This study presents a novel privacy-preserving self-supervised (SSL) framework for COVID-
19 classification from lung CT scans, utilizing federated learning (FL) enhanced with Paillier …

The rapid increase in data volume and variety within the field of machine learning
necessitates ethical data utilization and adherence to strict privacy protection standards. Fair …

The security issues surrounding cloud computing, a quickly develo** technology that is
now essential to both personal and business computing, are thoroughly examined in this …

The field of computer networking is experiencing rapid growth, accompanied by the swift
advancement of internet tools. As a result, people are becoming more aware of the …

The computational cost for implementing data privacy protection tends to rise as the
dimensions increase, especially on correlated datasets. For this reason, a faster data …

Abstract According to the World Health Organization (WHO), pneumonia kills about 2 million
children under the age of 5 every year. Traditional machine learning methods can be used …

The proliferation of online social networking websites has resulted in the growth of online
communities and increased communication among users. However, sharing personal …