The goal of privacy metrics is to measure the degree of privacy enjoyed by users in a system
and the amount of protection offered by privacy-enhancing technologies. In this way, privacy …

Insider threats, as one type of the most challenging threats in cyberspace, usually cause
significant loss to organizations. While the problem of insider threat detection has been …

Computer networks intrusion detection systems (IDSs) and intrusion prevention systems
(IPSs) are critical aspects that contribute to the success of an organization. Over the past …

Automatic program understanding and generation techniques could significantly advance
the productivity of programmers and have been widely studied by academia and industry …

Insider threats are one of today's most challenging cybersecurity issues that are not well
addressed by commonly employed security solutions. In this work, we propose structural …

A data breach is the intentional or inadvertent exposure of confidential information to
unauthorized parties. In the digital era, data has become one of the most critical components …

Defect prediction aims to automatically identify potential defective code with minimal human
intervention and has been widely studied in the literature. Just-in-Time (JIT) defect prediction …

Sudden steam-driven eruptions strike without warning and are a leading cause of fatalities
at touristic volcanoes. Recent deaths following the 2019 Whakaari eruption in New Zealand …

Context One of the main targets of cyber-attacks is data exfiltration, which is the leakage of
sensitive or private data to an unauthorized entity. Data exfiltration can be perpetrated by an …

Web applications (WAs) are constantly evolving and deployed at broad scale. However, they
are exposed to a variety of attacks. The biggest challenge facing organizations is how to …