As an important part of intrusion detection, feature selection plays a significant role in
improving the performance of intrusion detection. Krill herd (KH) algorithm is an efficient …

Network intrusion detection systems (NIDS) are the most common tool used to detect
malicious attacks on a network. They help prevent the ever-increasing different attacks and …

Intrusion detection system plays an important role in ensuring information security, and the
key technology is to accurately identify various attacks in the network. Due to huge increase …

In today's interconnected society, cyberattacks have become more frequent and
sophisticated, and existing intrusion detection systems may not be adequate in the complex …

Security remains as a key role in this internet world owing to the fast expansion of users on
the internet. Numerous existing intrusion detection approaches were introduced by …

Network intrusion detection system can effectively detect network attack behaviour, which is
very important to network security. In this paper, a multiclassification network intrusion …

Due to the growth of internet security issues, Network Intrusion Detection System (NIDS)
becomes an integral part of the IoT environment. In the past, most research on intrusion …

Network intrusion classification int he imbalanced big data environment becomes a
significant and important issue in information and communications technology (ICT) in this …

In this study, we set up a scalable framework for large-scale data processing and analytics
using the big data framework. The popular classification methods are implemented, tuned …

The ability to process large amounts of data in real time using big data analytics tools brings
many advantages that can be used in intrusion detection systems. Deep learning …