In view of the problems existing in feature selection and support vector machine model
parameter optimization in network intrusion detection, artificial bee colony algorithm is …

As the first step of cybersecurity situational awareness, the accuracy of cybersecurity
element recognition will directly affect the results of situational understanding and situational …

In the era of network and big data, network information security has become a major issue.
Intrusion Detection System (IDS) is an essential component of network security facilities …

The enormous development in the connectivity among different type of networks poses
significant concerns in terms of privacy and security. As such, the exponential expansion in …

This thesis investigates a precise and efficient pattern-based intrusion detection approach
by extracting patterns from sequential adversarial commands. As organisations are further …

Simulation is a common method to study intrusion detection system. A large amount of
simulation results will be generated during the simulation operation. How to effectively …

Obtaining insights in the tremendous amount of data in which the Big Data era has brought
us, requires to develop specific tools, that are not only summaries of data through classical …

Due to the drastic increase in the rate of cyber attacks, network security has become the
highest priority in the recent technological era. As the cyber attacks have become more …

Network-based intrusion detection systems (NIDS) have become important and widely used
tools for ensuring network security. Processing huge amount of audit data is a challenging …

Since computer network detection is concealed and diverse, it is difficult to carry out network
intrusion detection. In order to improve the detection effect of LSSVM in the abnormal …