Social media, such as Twitter, is a source of exchanging information and opinion on global
issues such as COVID-19 pandemic. In this study, we work with a database of around 1.2 …

The explosive growth of cyber attacks today, such as malware, spam, and intrusions, has
caused severe consequences on society. Securing cyberspace has become a great concern …

Over the years, various technical means have been developed to protect Internet users from
phishing attacks. To enrich the anti-phishing efforts, we capitalise on concepts from graph …

Despite the great advances in spam detection, spam remains a major problem that has
affected the global economy enormously. Spam attacks are popularly perpetrated through …

Community detection (or clustering) in large-scale graphs is an important problem in graph
mining. Communities reveal interesting organizational and functional characteristics of a …

Graph Convolutional Network (GCN) has drawn considerable research attention in recent
times. Many different problems from diverse domains can be solved efficiently using GCN …

The Consumer Internet of Things (CIoT) integrates the advantage of Internet of Things (IoT)
technologies to provide convenience in consumers' daily lives. With the rapid development …

Phishing emails, a type of cyberattack using fake emails, are difficult to recognize due to
sophisticated techniques employed by attackers. In this paper, we use a natural language …

One of the most symptomatic diseases is COVID-19. Early and precise physiological
measurement-based prediction of breathing will minimize the risk of COVID-19 by a …

Sparse Deep Neural Network (DNN) is an emerging research area since deploying deep
neural networks with limited resources is very challenging. In this work, we provide a …