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

Network intrusion detection system is an essential part of network security research. It
detects intrusion behaviors through active defense technology and takes emergency …

Traffic signs are one of the most important information that guide cars to travel, and the
detection of traffic signs is an important component of autonomous driving and intelligent …

Effectively detecting intrusions in the computer networks still remains problematic. This is
because cyber attackers are changing packet contents to disguise the intrusion detection …

Providing a high-performance Intrusion Detection System (IDS) can be very effective in
controlling malicious behaviors and cyber-attacks. Regarding the ever-growing negative …

Deep learning has become a research hotspot in the field of network intrusion detection. In
order to further improve the detection accuracy and performance, we proposed an intrusion …

Abstract The Internet of things (IoT) has gained more attention in recent years because of its
ubiquitous operations, connectivity, methods of communication, and intelligent decisions to …

The dynamics of computer networks have changed rapidly over the past few years due to a
tremendous increase in the volume of the connected devices and the corresponding …

Abstract Sensors in a Wireless Sensor Network (WSN) sense, process, and transmit
information simultaneously. They mainly find applications in agriculture monitoring …

With the growing internet services, cybersecurity becomes one of the major research
problems of the modern digital era. Cybersecurity involves techniques to protect and control …