Recently, the number of cyber attacks against IoT domains has increased tremendously.
This resulted into both human and financial losses at all IoT levels especially individual and …

The ever increasing number of cyber attacks requires the cyber security and forensic
specialists to detect, analyze and defend against the cyber threats in almost real-time. In …

Pervasive growth and usage of the Internet and mobile applications have expanded
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …

Availability of suitable and validated data is a key issue in multiple domains for
implementing machine learning methods. Higher data dimensionality has adverse effects on …

Training pipelines for machine learning (ML) based malware classification often rely on
crowdsourced threat feeds, exposing a natural attack injection point. In this paper, we study …

The surging pace of Internet of Things (IoT) development and its applications has resulted in
significantly large amounts of data (commonly known as big data) being communicated and …

In recent years, malware attacks have become serious security threats and have caused
huge losses. Due to the rapid growth of malware variants, how to quickly and accurately …

Cyberattacks represent an ever-growing threat that has become a real priority for most
organizations. Attackers use sophisticated attack scenarios to deceive defense systems in …

Detecting unknown malware and their variants remains both an operational challenge and a
research challenge. In recent years, there have been attempts to design machine learning …

The widespread development of the malware industry is considered the main threat to our e-
society. Therefore, malware analysis should also be enriched with smart heuristic tools that …