As network techniques rapidly evolve, attacks are becoming increasingly sophisticated and
threatening. Network intrusion detection has been widely accepted as an effective method to …

Networks play important roles in modern life, and cyber security has become a vital research
area. An intrusion detection system (IDS) which is an important cyber security technique …

The increasing number of security attacks have inspired researchers to employ various
classifiers, such as support vector machines (SVMs), to deal with them in Intrusion detection …

An artificial neural network (ANN) that mimics the information processing mechanisms and
procedures of neurons in human brains has achieved a great success in many fields, eg …

With the deep combination of both modern information technology and traditional
agriculture, the era of agriculture 4.0, which takes the form of smart agriculture, has come …

Currently, the Distributed Denial of Service (DDoS) attack has become rampant, and shows
up in various shapes and patterns, therefore it is not easy to detect and solve with previous …

Intrusion detection is a fundamental part of security tools, such as adaptive security
appliances, intrusion detection systems, intrusion prevention systems, and firewalls. Various …

Many studies utilized machine learning schemes to improve network intrusion detection
systems recently. Most of the research is based on manually extracted features, but this …

Intrusion detection systems (IDS) differentiate the malicious entries from the legitimate
entries in network traffic data and helps in securing the networks. Deep learning algorithms …

Distributed denial-of-service (DDoS) attacks continue to grow at a rapid rate plaguing
Internet Service Providers (ISPs) and individuals in a stealthy way. Thus, intrusion detection …