Network-based Intrusion Detection System (NIDS) forms the frontline defence against
network attacks that compromise the security of the data, systems, and networks. In recent …

The future Internet of Things (IoT) will have a deep economical, commercial and social
impact on our lives. The participating nodes in IoT networks are usually resource …

As machine learning becomes more widely used, the need to study its implications in
security and privacy becomes more urgent. Although the body of work in privacy has been …

Spam emails have been traditionally seen as just annoying and unsolicited emails
containing advertisements, but they increasingly include scams, malware or phishing. In …

The United Nations' Sustainable Development Goals (SDGs) set out to improve the quality of
life of people in developed, emerging, and developing countries by covering social and …

Concerns about cybersecurity and attack methods have risen in the information age. Many
techniques are used to detect or deter attacks, such as intrusion detection systems (IDSs) …

Deep learning (DL) has shown great success in many human-related tasks, which has led to
its adoption in many computer vision based applications, such as security surveillance …

The past decade has witnessed the rapid development of Artificial Intelligence (AI),
especially the explosion of deep learning-related connectionist approaches. This study …

Digital advertising markets are growing and attracting increased scrutiny. This article
explores four market inefficiencies that remain poorly understood: ad effect measurement …

Abstract Machine Learning (ML) algorithms are used to train the machines to perform
various complicated tasks that begin to modify and improve with experiences. It has become …