Context: Software security is considered a major aspect of software quality as the number of
discovered vulnerabilities in software products is growing. Vulnerability prediction is a …

There is an exponential rise in the use of smartphones in government and private institutions
due to business dependencies such as communication, virtual meetings, and access to …

During Android application development, ensuring adequate security is a crucial and
intricate aspect. However, many applications are released without adequate security …

Counterfactual explanations highlight actionable knowledge which helps to understand how
a machine learning model outcome could be altered to a more favourable outcome …

Vulnerability detection is a crucial yet challenging task in ensuring software security, and
deep learning (DL) has made significant progress in automating this process. However, a …

Mobile devices are increasingly used in our daily lives. To fulfill the needs of smartphone
users, the development of mobile applications has been growing at a high rate. As …

Ensuring the security of Android applications is a vital and intricate aspect requiring careful
consideration during development. Unfortunately, many apps are published without …

Adhering to security best practices during the development of Android applications is of
paramount importance due to the high prevalence of apps released without proper security …

The existing literature on the connection between attacks and system vulnerabilities often
relies on manual techniques. We have developed an approach, called VULDAT, to …

The detection of malicious domains often relies on machine learning (ML), and proposals for
browser-based detection of malicious domains with high throughput have been put forward …