As the Internet has transformed into a critical infrastructure, society has become more
vulnerable to its security flaws. Despite substantial efforts to address many of these …

Malware poses a severe threat to cyber security. Attackers use malware to achieve their
malicious purposes, such as unauthorized access, stealing confidential data, blackmailing …

The rapid rise in popularity of Large Language Models (LLMs) with emerging capabilities
has spurred public curiosity to evaluate and compare different LLMs, leading many …

With the growing processing power of computing systems and the increasing availability of
massive datasets, machine learning algorithms have led to major breakthroughs in many …

Machine learning (ML) classifiers have been widely deployed to detect Android malware,
but at the same time the application of ML classifiers also faces an emerging problem. The …

Our current defenses against IoT malware may not be adequate to remediate an IoT
malware attack similar to the Mirai botnet. This work seeks to investigate this matter by …

In recent years, Ransomware has been a critical threat that attacks smartphones.
Ransomware is a kind of malware that blocks the mobile's system and prevents the user of …

Malware is one of the prevalent security threats. Sandboxes and, more generally,
instrumented environments play a crucial role in dynamically analyzing malware samples …

The aim of this systematic literature review (SLR) is to provide a comprehensive overview of
the current state of Windows malware detection techniques, research issues, and future …

Existing Android malware detection methods are usually hard to simultaneously resist
various obfuscation techniques. Therefore, bytecode-based code obfuscation becomes an …