There has been an increasing trend of malware release, which raises the alarm for security
professionals worldwide. It is often challenging to stay on top of different types of malware …

In the past decade, the number of malware variants has increased rapidly. Many
researchers have proposed to detect malware using intelligent techniques, such as Machine …

Given their escalating number and variety, combating malware is becoming increasingly
strenuous. Machine learning techniques are often used in the literature to automatically …

Cyber security is used to protect and safeguard computers and various networks from ill-
intended digital threats and attacks. It is getting more difficult in the information age due to …

Malware analysis is fundamental for defending against prevalent cyber security threats and
requires a means to deploy and study behavioural software traits as more sophisticated …

The AMG8833 sensor can be utilized for a low-cost thermal camera-based body
temperature measurement during COVID-19 protocol enforcement. However, the sensor is …

In this paper we study anomaly detection methods for home IoT devices. Specifically, we
address unsupervised one-class learning methods due to their ability to learn deviations …

The rise of malware attacks presents a significant cyber-security challenge, with advanced
techniques and offline command-and-control (C2) servers causing disruptions and financial …

While privacy-focused browsers have taken steps to block third-party cookies and mitigate
browser fingerprinting, novel tracking techniques that can bypass existing countermeasures …

Machine learning (ML) has seen exponential growth in recent years, finding applications in
various domains such as finance, medicine, and cybersecurity. Malware remains a …