In this paper, a hybrid method of support vector machine and genetic algorithm (GA) is
proposed and its implementation in intrusion detection problem is explained. The proposed …

Intrusion detection systems (IDS) have been playing an important role for providing security
of computer networks. They detect different types of attacks and malicious software usage …

The growth of data and categories of attacks, demand the use of Intrusion Detection System
(IDS) effectively using Machine Learning (ML) and Deep Learning (DL) techniques. Apart …

Advances in computer networks led to the generation of much data that computer networks
must be capable of transmitting. The security of this volume of data is a major challenge for …

Intrusion detection is a serious and complex problem. Undoubtedly due to a large number of
attacks around the world, the concept of intrusion detection has become very important. This …

Mobile ad hoc networks (MANETs) are more susceptible towards security attacks because of
its complicated characteristics ie lack of clear boundary of defense, no centralized points …

Network security is essential in the Internet world. Intrusion Detection is one of the network
security components. Anomaly Intrusion Detection is a type of intrusion detection that …

As the influence of Internet and networking technologies as communication medium
advance and expand across the globe, cyber attacks also grow accordingly. Anomaly …

Intrusion Detection is the process of monitoring and identifying activity on a host or network
to prove whether the host or network has been successfully attacked or is still an attempt at …

The number of users of the Internet has been continuously rising, with an estimated 5.1
billion users in 2023, which comprises around 64.7% of the total world population. This …