Modern day organizations face a continuous challenge in ensuring that their employees are cognizant with malware and cyber attacks, since it has the potential to cause financial, legal, and reputational damage to them. Current awareness training exists in a multitude of forms to equip employees and organizations to protect themselves against…

Contribution: A novel proactive and collaborative learning paradigm was proposed to engage learners with different backgrounds and enable effective retention and transfer of the multidisciplinary artificial intelligence (AI)-cybersecurity knowledge. Specifically, the proposed learning paradigm contains: 1) an immersive learning environment to…

Demand for cybersecurity professionals from industry and institutions is high, driven by an increasing digitization of society and the growing range of potential targets for cyber attacks. However, despite this pressing need a significant shortfall in the number of cybersecurity experts remains and a discrepancy has emerged between the skills…

Machine learning (ML) is increasingly utilized in the development and assurance of safety-critical systems (SCSs) nowadays, much like other complex problems. Safety is the topmost priority in SCS, hence, developers who are working in this area must possess extensive knowledge of both ML and SCS. This article presents a methodical investigation…