With the COVID-19 pandemic and the growing influence of the Internet in critical sectors of
industry and society, cyberattacks have not only not declined, but have risen sharply. In the …

The continuous proliferation of malware poses a formidable threat to the cyberspace
landscape. Researchers have proffered a multitude of sophisticated defense mechanisms …

Recognition of known malicious patterns through signature-based systems is unsuccessful
against malware for which no known signature exists to identify them. These include not only …

Artificial General Intelligence (AGI) promises transformative societal changes but poses
safety and containment challenges. Large Language Models like ChatGPT have intensified …

Antiviruses (AVs) are computing-intensive applications that rely on constant monitoring of
OS events and on applying pattern matching procedures on binaries to detect malware. In …

WebAssembly has become a crucial part of the modern web, offering a faster alternative to
JavaScript in browsers. While boosting rich applications in browser, this technology is also …

With the widespread use of Internet of Things (IoT) devices, malware detection has become
a hot spot for both academic and industrial communities. Existing approaches can be …

Machine Learning (ML) has been widely applied to cybersecurity and is considered state-of-
the-art for solving many of the open issues in that field. However, it is very difficult to evaluate …

The intrusion detection system (IDS) is a rapidly expanding field that continues to attract
interest due to the increasing variety of its applications. It has been the topic of research, with …

The Android accessibility (a11y) service is widely abused by malware to conduct on-device
monetization fraud. Existing mitigation techniques focus on malware detection but overlook …