In recent years, deep learning has evolved as a rapidly growing and stimulating field of
machine learning and has redefined state-of-the-art performances in a variety of …

Context: Vulnerabilities are an essential issue today, as they cause economic damage to the
industry and endanger our daily life by threatening critical national security infrastructures …

In this study, a new control approach is introduced for active/reactive power control in
modernized microgrids (MMGs). The dynamics of MMG are considered to be unknown and a …

In recent years, artificial intelligence has had a conspicuous growth in almost every aspect of
life. One of the most applicable areas is security code review, in which a lot of AI-based tools …

Software vulnerabilities can have serious consequences, which is why many techniques
have been proposed to defend against them. Among these, vulnerability detection …

In this work, we propose a new vulnerability discovery model by predicting the number and
probability of occurrence of vulnerabilities of different severity levels in software. The severity …

The prediction of software vulnerability requires crucial awareness during the software
specification, design, development, and configuration to achieve less vulnerable and secure …

Software security is a critical aspect of modern software products. The vulnerabilities that
reside in their source code could become a major weakness for enterprises that build or …

The growing use of technology makes the development of secure applications essential. In
contrast, the secure software development cycle is a costly task, considering the human …

The frequency of cyberattacks has been rapidly increasing in recent times, which is a
significant concern. These attacks exploit vulnerabilities present in the software components …