With the rapid growth of internet based services and the data generated on these services
are attracted by the attackers to intrude the networking services and information. Based on …

Intrusion detection in computer networks is of great importance because of its effects on the
different communication and security domains. The detection of network intrusion is a …

This research attempts to introduce the production methodology of an anomaly detection
dataset using ten desirable requirements. Subsequently, the article presents the produced …

Introduction: The growth of ubiquitous networked devices and the proliferation of
geographically dispersed 'Internet of Thing'devices have exponentially increased network …

Telecommunication networks are growing exponentially due to their significant role in
civilization and industry. As a result of this very significant role, diverse applications have …

Machine learning (ML) algorithms are often used to design effective intrusion detection (ID)
systems for appropriate mitigation and effective detection of malicious cyber threats at the …

Intrusion Detection in cloud platform is a challenging problem due to its extensive usage and
distributed nature that are constant targets of new and unknown attacks. Intrusion detection …

Cyber attacks constitute a significant threat to organizations with implications ranging from
economic, reputational, and legal consequences. As cybercriminals' techniques get …

From a security perspective, the research of the jeopardized 6G wireless communications
and its expected ultra-densified ubiquitous wireless networks urge the development of a …

Network security plays an essential role in secure communication and avoids financial loss
and crippled services due to network intrusions. Intruders generally exploit the flaws of …