Intrusions constitute one of the main issues in computer network security. Through malicious
actions, hackers can have unauthorised access that compromises the integrity, the …

Feature selection is becoming a major preprocessing phase in which irrelevant and
redundant features are removed, while the more informative ones are retained. The datasets …

Feature selection is a preprocessing phase to machine learning, which leads to increase the
classification accuracy and reduce its complexity. However, the increase of data …

The advancements in communication technologies and ubiquitous accessibility to a wide
array of services has opened many challenges. Growing numbers of cyberattacks show that …

These days, network traffic is increasing due to the increasing use of smart devices and the
Internet. Amount of the intrusion detection studies focused on feature selection or reduction …

Regarding to the huge number of connections and the large flow of data on the Internet,
Intrusion Detection System (IDS) has a difficulty to detect attacks. Moreover, irrelevant and …

Intrusion detection system (IDS) is an essential cyber security tool which is used to detect
abnormal activity on a network or a host. A general approach towards designing IDS models …

Availability of suitable and validated data is a key issue in multiple domains for
implementing machine learning methods. Higher data dimensionality has adverse effects on …

Along with expansion in using of Internet and computer networks, the privacy, integrity, and
access to digital resources have been faced with permanent risks. Due to the unpredictable …

With the increase in the usage of the Internet, a large amount of information is exchanged
between different communicating devices. The data should be communicated securely …