With the swift growth of Internet technology, various types of attacks and intrusions are taking
place over the Internet. Intrusion Detection Systems (IDS) are widely used to detect attacks …

An intrusion detection system is a security system that aims to detect sabotage and
intrusions on networks to inform experts of the attack and abuse of the network. Different …

Network attacks are illegal activities on digital resources within an organizational network
with the express intention of compromising systems. A cyber attack can be directed by …

The duplicate and insignificant features present in the data set to cause a long-term problem
in the classification of network or web traffic. The insignificant features not only decrease the …

In this paper, Big Data and Deep Learning Techniques are integrated to improve the
performance of intrusion detection systems. Three classifiers are used to classify network …

An efficient machine learning (ML) ensemble technique for categorizing Intrusion Detection
(ID) is proposed in this study. The tuning of the ML model's parameters is a critical topic …

An intrusion detection system (IDS) is a vital security component of modern computer
networks. With the increasing amount of sensitive services that use computer network-based …

With the advancement of internet technology, the numbers of threats are also rising
exponentially. To reduce the impact of these threats, researchers have proposed many …

Intrusion Detection System (IDS) is one of the most important security tool for many security
issues that are prevailing in today's cyber world. Intrusion Detection System is designed to …

With the increased use of Internet resources, cyber attackers are using novel ways to attack
the services of network. Thus network security is becoming inevitable part of the network …