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 …

Identifying cyber attacks traffic is very important for the Internet of things (IoT) security in
smart city. Recently, the research community in the field of IoT Security endeavor hard to …

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 …

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 …

Malware traffic classification (MTC) plays an important role in cyber security and network
resource management for the secure Internet of Things (IoT). Many deep learning (DL) …

IoT devices are notoriously vulnerable even to trivial attacks and can be easily
compromised. In addition, resource constraints and heterogeneity of IoT devices make it …

Internet of Things (IoT) refers to a wide variety of embedded devices connected to the
Internet, enabling them to transmit and share information in smart environments with each …

With the increase of IoT devices and technologies coming into service, Malware has risen as
a challenging threat with increased infection rates and levels of sophistication. Without …

In order to counter cyber-attacks and digital threats, security experts must generate, share,
and exploit cyber-threat intelligence generated from malware. In this research, we address …

Despite the benefits of the Internet of Things (IoT), the growing influx of IoT-specific malware
coordinating large-scale cyberattacks via infected IoT devices has created a substantial …