Artificial intelligence (AI) is a powerful technology that helps cybersecurity teams automate
repetitive tasks, accelerate threat detection and response, and improve the accuracy of their …

Coexploitation behavior, referring to multiple software vulnerabilities being exploited jointly
by one or more exploits, brings enormous challenges to the prevention and remediation of …

Abstract Knowledge graph, as an extension of graph data structure, is being used in a wide
range of areas as it can store interrelated data and reveal interlinked relationships between …

Cloud computing (CC) technologies (viz artificial intelligence (AI), data science,
blockchain,“big data”(BD), etc.) are progressively widespread and practically applied …

Software vulnerabilities, also known as flaws, bugs or weaknesses, are common in modern
information systems, putting critical data of organizations and individuals at cyber risk. Due …

For an organization, insider intrusion generally poses far more detrimental threats than
outsider intrusion. Traditionally, insider threat is detected by analyzing logged user …

This paper presents a reliability assessment technique for cyber-physical power systems
(CPPSs) that incorporates cybersecurity issues by considering non-normal random …

Software vulnerability detection is critical in software security because it identifies potential
bugs in software systems, enabling immediate remediation and mitigation measures to be …

Real-time safety assessment of dynamic systems has recently received increasing attention.
However, the performance of existing advanced approaches is often negatively affected by …

To fully exploit enormous data generated by intelligent devices in edge computing, edge
federated learning (EFL) is envisioned as a promising solution. The distributed collaborative …