Digital twin (DT), referring to a promising technique to digitally and accurately represent
actual physical entities, has attracted explosive interests from both academia and industry …

Automatically detecting software vulnerabilities is an important problem that has attracted
much attention from the academic research community. However, existing vulnerability …

As a key service of the future 6G network, healthcare digital twin is the virtual replica of a
person, which employs Internet of Things (IoT) technologies and AI-powered models to …

The use of technologies, procedures, and practices, designed to protect networks, programs,
and data from attacks, damages, or unauthorized access, are called cyber security …

Static detection of security vulnerabilities in binary programs is an important research field in
software supply chain security. However, existing vulnerability detection methods based on …

Abstract Cyber–Physical Systems (CPS) are developed by the integration of computational
algorithms and physical components and they exist as a result of technological …

In recent years, cyber threats and malicious software attacks have been escalated on
various platforms. Therefore, it has become essential to develop automated machine …

Software vulnerabilities have been posing tremendous reliability threats to the general
public as well as critical infrastructures, and there have been many studies aiming to detect …

Deep learning has shown effectiveness in binary software vulnerability detection due to its
outstanding feature extraction capability independent of human expert experience …

Ensuring the security of modern cyberphysical devices is the most important task of the
modern world. The reason for this is that such devices can cause not only informational, but …