This survey presents a comprehensive review of current literature on Explainable Artificial
Intelligence (XAI) methods for cyber security applications. Due to the rapid development of …

As the number of Internet-connected systems rises, cyber analysts find it increasingly difficult
to effectively monitor the produced volume of data, its velocity and diversity. Signature-based …

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 …

This paper introduces a new intelligent integration between an IoT platform and deep
learning neural network (DNN) algorithm for the online monitoring of computer numerical …

Advances in network communications have resulted in an explosion of connected device
usages in several business domains with phenomenal surge in network traffic. Though the …

The introduction of deep learning techniques in intrusion detection problems has enabled
an enhanced standard of detection effectiveness. However, most of the progress has …

Nowadays, several kinds of attacks exist in cyberspace, and hence comprehensive research
has been implemented to overcome these drawbacks. One such method to provide security …

The cyber security field has witnessed several intrusion detection systems (IDSs) that are
critical to the detection of malicious activities in network traffic. In the last couple of years …

High data rate requirements in recent years have resulted in the massive expansion of
communication systems, network size and the amount of data generated and processed …

World is now considered as global village because of interconnected networks. Smart
phones and large computing devices exchange millions of information each day. Information …