Abstract The Internet of Things (IoT) has remarkably evolved over the last few years to
realize a wide range of newly emerging services and applications empowered by the …

With the evolution of cybersecurity countermeasures, the threat landscape has also evolved,
especially in malware from traditional file-based malware to sophisticated and multifarious …

Identification of anomaly and malicious traffic in the Internet-of-Things (IoT) network is
essential for the IoT security to keep eyes and block unwanted traffic flows in the IoT …

With the development of Internet-of-Things (IoT) technology, various types of information,
such as social resources and physical resources, are deeply integrated for different …

Abstract Machine Learning (ML) plays very significant role in the Internet of Things (IoT)
cybersecurity for malicious and intrusion traffic identification. In other words, ML algorithms …

DDoS attack is one of the most powerful cyber-weapons as it does not wait for a specific
server configuration or particular network state to attack or to disrupt any operation of the …

In recent years, the emergence of the Internet of Vehicles (IoV) aims to enhance the users'
quality of experience through proposing more sophisticated services ranging from …

In recent years, the evolving Internet of Things (IoT) technology has been widely used in
various industrial scenarios, whereby massive sensor data involving both normal data and …

Traditional text emotion analysis methods are primarily devoted to studying extended texts,
such as news reports and full-length documents. Microblogs are considered short texts that …

For IoT security to function properly, it is necessary to identify anomalies and suspicious
activities in the Internet of things (IoT) network in order to keep an eye on things and stop …