At present, Internet-based information processing systems are challenged by different kinds
of threats, which lead to various types of damages that in turn result in significant loss of …

Intrusion detection systems are used to detect and prevent the attacks in networks and
databases. However, the increase in the dimension of the network dataset has become a …

The exponential growth of network size leads to increase attacks and intrusions. Detection of
these attacks from the network has turned into a noteworthy issue of security. An intrusion …

Recently machine learning-based intrusion detection approaches have been subjected to
extensive researches because they can detect both misuse and anomaly. In this paper …

Increasing numbers of interconnected networks to the internet have led to an increase in
cyber attacks which necessitates the need for an effective intrusion detection system. In this …

The network intrusion detection techniques are important to prevent our systems and
networks from malicious behaviors. However, traditional network intrusion prevention such …

In this paper, an adaptive network intrusion detection method using fuzzy rough set-based
feature selection and GA-GOGMM-based pattern learning is presented. Based on the fuzzy …

The main function of IDS (Intrusion Detection System) is to protect the system, analyze and
predict the behaviors of users. Then these behaviors will be considered an attack or a …

The rapid development of business and other transaction systems over the Internet makes
computer security a critical issue. In recent times, data mining and machine learning have …

Rapid growth in the Internet usage and diverse military applications have led researchers to
think of intelligent systems that can assist the users and applications in getting the services …