Nowadays, Artificial Intelligence (AI) is widely applied in every area of human being's daily
life. Despite the AI benefits, its application suffers from the opacity of complex internal …

Explainable Artificial Intelligence (XAI) aims to improve the transparency of machine
learning (ML) pipelines. We systematize the increasingly growing (but fragmented) …

Artificial Intelligence (AI) has made remarkable progress in recent years and has become an
indispensable tool for many applications. However, one major limitation of AI is its lack of …

Abstract Machine Learning (ML)-based network intrusion detection systems bring many
benefits for enhancing the cybersecurity posture of an organisation. Many systems have …

The potential of digital twin technology is yet to be fully realised due to its diversity and
untapped potential. Digital twins enable systems' analysis, design, optimisation, and …

Decision support tools are key components of intelligent sociotechnical systems, and their
successful implementation faces a variety of challenges, including the multiplicity of …

The development of data-driven Artificial Intelligence systems has seen successful
application in diverse domains related to social platforms; however, many of these systems …

Abstract In recent years, Advanced Persistent Threat (APT) attacks on network systems have
increased through sophisticated fraud tactics. Traditional Intrusion Detection Systems (IDSs) …

The behavioral analysis of smart devices plays a key role in enforcing security for IoT
environments. In particular, anomalous patterns can be targeted in the behavior of smart …

Cybersecurity vendors consistently apply AI (Artificial Intelligence) to their solutions and
many cybersecurity domains can benefit from AI technology. However, black-box AI …