Advances in the Internet of Things (IoT) and aviation sector have resulted in the emergence
of smart airports. Services and systems powered by the IoT enable smart airports to have …

Cybersecurity assessments are crucial in building the assurance that vital cyberassets are
effectively protected from threats. Multiple assessment methods have been proposed during …

Software Vulnerabilities (SVs) are increasing in complexity and scale, posing great security
risks to many software systems. Given the limited resources in practice, SV assessment and …

In recent years, numerous Machine Learning (ML) models, including Deep Learning (DL)
and classic ML models, have been developed to detect software vulnerabilities. However …

This paper proposes a pipeline for quantitatively evaluating interactive Large Language
Models (LLMs) using publicly available datasets. We carry out an extensive technical …

It is increasingly suggested to identify Software Vulnerabilities (SVs) in code commits to give
early warnings about potential security risks. However, there is a lack of effort to assess …

Technology is mainly characterized by being changed rapidly. In other words, it is
recognized as the ever-changing playing field. Those who aim to stay in the technology field …

Background: Static Application Security Testing (SAST) tools purport to assist developers in
detecting security issues in source code. These tools typically use rule-based approaches to …

This review explores the problems Chief Information Security Officers (CISOs) and other
cyber professionals face when defending their organization against cyberattacks. Using a …

Abstract Machine learning (ML) utilisation has achieved a vast global impact. This is evident
in the cybersecurity sector, where ML has wide-ranging applications, such as identifying and …