Context: Current deep-learning based vulnerability detection methods have been proven
more automatic and correct to a certain extent, nonetheless, they are limited to detect at …

The existence of vulnerabilities is a serious threat to the security of networks, which needs to
be detected timely. In this paper, machine learning methods were mainly studied. Firstly …

In software security and reliability, automated vulnerability detection is an essential and
compulsory task. Software needs to be tested and checked before it goes to the client for …

Current vulnerability detection methods encounter challenges, such as inadequate feature
representation, constrained feature extraction capabilities, and coarse-grained detection. To …

Vulnerability localization can assist security professionals in vulnerability validation and
analysis. This study proposes an intelligent vulnerability localization method based on fine …

In the digital world where the smart device is a ubiquitous feature of modern life, embedded
systems are almost everywhere. From the smart home, to the smart office, to the smart …

In computer security, finding software vulnerabilities is essential since they provide serious
security hazards to both individuals and companies. Known vulnerability variations or …

Software development is rapidly growing at a global level. It requires a lot of technical
knowledge and a well-structured skill set. Due to these and other factors, software …

Intrusion detection in Internet of Things (IoT) networks is a critical challenge due to the
dynamic and evolving nature of cyber threats. To address this issue, we propose a novel …

The security of embedded systems is particularly crucial given the prevalence of embedded
devices in daily life, business, and national defense. Firmware for embedded systems poses …