Internet of Medical Things (IoMT) is an ecosystem composed of connected electronic items
such as small sensors/actuators and other cyber-physical devices (CPDs) in medical …

This paper aims to explore the application of deep learning in smart contract vulnerabilities
detection. Smart contracts are an essential part of blockchain technology and are crucial for …

Vulnerability detection is of great importance in providing reliability to software systems.
Although existing methods achieve remarkable success in vulnerability detection, they have …

Software vulnerabilities pose a significant threat to system security, necessitating effective
automatic detection methods. Current techniques face challenges such as dependency …

IoT is complicated as it contains a huge number of devices which saves data and promotes
functionality of each device. Generally, such models include real-time functioning as it is a …

The proliferation of the Internet of Things (IoT) paradigm has ushered in a new era of
connectivity and convenience. Consequently, rapid IoT expansion has introduced …

The study introduces VulnMiner, a comprehensive framework encompassing a data
extraction tool tailored for identifying vulnerabilities in C/C++ source code. Moreover, it …

Software vulnerabilities pose a significant threat to system security, necessitating effective
automatic detection methods. Current techniques face challenges such as dependency …

The widespread use of IoT devices has introduced new challenges, particularly related to
security and privacy threats such as unauthorized data access and device breaches. The …

The rapid expansion of IoT brings unmatched convenience and connectivity, but it also
raises significant security concerns. The prioritization of functionality over security in IoT …