The escalating complexity of cyber attacks demands innovative intrusion detection systems
(IDS) to safeguard critical assets and data. The study aims to explore the potential of Artificial …

The detection technique for IP packet header modifications associated with store-and-
forward operation pertains to a methodology or mechanism utilized for the identification and …

Nowadays, several kinds of attacks exist in cyberspace, and hence comprehensive research
has been implemented to overcome these drawbacks. One such method to provide security …

Many intrusion detection algorithms that use optimization have been developed and are
commonly used to detect intrusions. The process of selecting features and the parameters of …

The proliferation of internet-connected services has led to significant growth of cyber-attacks
often with devastating and grievous consequences. Malware is the key choice of weapon to …

Feature Engineering plays an important role in the development of a Machine Learning-
based Classifier; especially for Intrusion Detection Systems. It helps in reducing the …

The intrusion detection system (IDS) must be able to handle the increase in attack volume,
increasing Internet traffic, and accelerating detection speeds. Network flow feature (NTF) …

This chapter explores the topic of a novel network-based intrusion detection system (NIDPS)
that utilises the concept of graph theory to detect and prevent incoming threats. With …

The COVID-19 virus had easily affected people worldwide through direct contact. Individuals
diagnosed with positive COVID-19 virus may be affected with many symptoms, such as …

There are numerous methods of identifying network-based attacks using machine learning,
but processing complexity often constrains it to analyses of previously captured traffic to …