Deep learning (DL) is gaining significant prevalence in every field of study due to its
domination in training large data sets. However, several applications are utilizing machine …

The increasing use of Industrial Internet of Things (IIoT) devices has heightened concerns
about cybersecurity threats, particularly botnet attacks. Traditional internet communication …

With the popularity and development of network technology and the Internet, intrusion
detection systems (IDSs), which can identify attacks, have been developed. Traditional …

In this study, an artificial intelligence (AI) intrusion detection system using a deep neural
network (DNN) was investigated and tested with the KDD Cup 99 dataset in response to …

Among the key components of a smart grid, advanced metering infrastructure (AMI) has
become the preferred target for network intrusion due to its bidirectional communication and …

Vehicular ad hoc network (VANET) is an enabling technology in modern transportation
systems for providing safety and valuable information, and yet vulnerable to a number of …

The significant growth in the use of the Internet and the rapid development of network
technologies are associated with an increased risk of network attacks. Network attacks refer …

The diversity of network attacks poses severe challenges to intrusion detection systems
(IDSs). Traditional attack recognition methods usually adopt mining data associations to …

With the rapid development of network technology, active defending of the network intrusion
is more important than before. In order to improve the intelligence and accuracy of network …

The complexity of network intrusion detection systems (IDSs) is increasing due to the
continuous increases in network traffic, various attacks and the ever-changing network …