An Intrusion is an activity that compromises the confidentiality or the availability of the
resource. An Intrusion Detection System is a device or the software that monitors the state of …

The research in network intrusion detection has escalated since past few years. There are
various methods and systems being proposed related to intrusion detection. But the …

With the increased use of the Internet, unauthorized access has increased, allowing
malicious users to hack networks and carry out malicious activities. One of the essential …

Network security (NS) has now become critical in securing the computing infrastructure of
government and industry. A current intrusion detection system (IDS) must meet stringent …

Determining the machine learning (ML) technique that performs best on new datasets is an
important factor in the design of effective anomaly-based intrusion detection systems. This …

From the past few years, Intrusion Detection Systems (IDS) are employed as a second line of
defence and have shown to be a useful tool for enhancing security by detecting suspicious …

Cyber-security systems collect information from multiple security sensors to detect network
intrusions and their models. As attacks become more complex and security systems …

This paper proposes an improved detection performance of anomaly-based intrusion
detection system (IDS) using gradient boosted machine (GBM). The best parameters of GBM …

Intrusion detection systems were developed to detect any suspicious traffic in the network.
Conventional intrusion detection comes with its sets of limitations. The authors aimed to …

In the last decade, many researchers have proposed several models of classification
algorithms for enhancing the accuracy performance of IDSs. However, there is a minor issue …