Over the past years, the emergence of intelligent networks empowered by machine learning
techniques has brought great facilitates to different aspects of human life. However, using …

Sometimes, unverified information is disseminated as if it is true information on social media
sites. Most of the times, it goes viral and affects the belief of people and their emotions …

In recent years, machine-learning techniques, particularly deep learning, have outperformed
traditional time-series forecasting approaches in many contexts, including univariate and …

Undoubtedly, social media, such as Facebook and Twitter, constitute a major part of our
everyday life due to the incredible possibilities they offer to their users. However, Twitter and …

Deep learning (DL) has achieved a significant performance in computer vision problems,
mainly in automatic feature extraction and representation. However, it is not easy to …

The development of Internet of Vehicles (IoVs) have introduced more intrusions to the
vulnerabilities of in-vehicle network. It is important to detect in-vehicle network anomaly for …

Due to the popularity and user friendliness of the Internet, numbers of users of online social
networks (OSNs) and social media have grown significantly. However, globally utilised …

The proliferation of attacks on On-line Social Networks (OSNs) has imposed particular
attention by providers and users. This has an even higher importance for Social Reviewing …

Dating apps have gained tremendous popularity during the past decade. Compared with
traditional offline dating means, dating apps ease the process of partner finding significantly …

Abstract Detection of Online Social Networks (OSN) anomalous nodes becomes
increasingly essential to identify malicious activities. The abnormal nodes suspiciously …