Nowadays, the ever-increasing complication and severity of security attacks on computer
networks have inspired security researchers to incorporate different machine learning …

Deep learning (DL) has been widely proposed for botnet attack detection in Internet of
Things (IoT) networks. However, the traditional centralized DL (CDL) method cannot be …

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) …

Malware traffic classification (MTC) is a key technology for anomaly and intrusion detection
in secure Industrial Internet of Things (IIoT). Traditional MTC methods based on port …

The development and popularity of vehicle-to-everything communication have caused more
risks to the in-vehicle networks security. As a result, an increasing number of various and …

Abstract Underwater Wireless Sensor Networks (UWSNs) are the type of WSNs that transmit
the data through water medium and monitor the oceanic conditions, water contents, under …

Over the years, vehicles have become increasingly complex and an attractive target for
malicious adversaries. This raised the need for effective and efficient Intrusion Detection …

In order to ensure the security of computer systems and networks, it is very important to
design and implement intrusion detection systems that can detect and mitigate network …

With the popularity of wireless networks, wireless sensor networks (WSNs) have advanced
rapidly, and their flexibility and ease of deployment have resulted in more security concerns …

Cybersecurity in information technology (IT) infrastructures is one of the most significant and
complex issues of the digital era. Increases in network size and associated data have …