Internet of Things (IoT) technology has become an inevitable part of our daily lives. With the
increase in usage of IoT Devices, manufacturers continuously develop IoT technology …

Centralized machine learning approaches for cyber-security raise significant privacy and
security concerns due to raw data aggregation from distributed sources. This paper presents …

The aim of this study is to propose and evaluate an advanced ransomware detection and
classification method that combines a Stacked Autoencoder (SAE) for precise feature …

The spread of cyberthreats in the digital age presents serious concerns to national security,
the stability of the economy, and personal privacy. Traditional security methods are unable …

At present, encrypted data is the cornerstone of Internet communication, providing the
maximum degree of privacy and security protection for all transmitted data while shielding …

Purpose This study aims to illustrate the manifold ways in which artificial intelligence (AI)
serves as both a sentinel and a potential intruder in the realm of personal data protection …

The article explores how youth perceive the risks of artificial intelligence (AI), based on a
survey of 410 university students from Poland, Spain, and Ukraine. The study confirms non …

Several studies agree that traditional ways of preventing cybercrime, by applying common
computer security techniques such as passwords, firewalls and anti-virus, are no longer …

Modern ransomware implement innovative techniques and tactics to bypass existing
security measures. Hence, predicting and forecasting such kind of malware is crucial for …