To exploit the strengths of misuse detection and anomaly detection, an intensive focus on
intrusion detection combines the two. From a novel perspective, in this paper, we proposed …

Many current NIDSs are rule-based systems, which are very difficult in encoding rules, and
cannot detect novel intrusions. Therefore, a hybrid detection framework that depends on …

In this paper, we propose a novel Intrusion Detection System (IDS) architecture utilizing both
anomaly and misuse detection approaches. This hybrid Intrusion Detection System …

Anomaly based network intrusion detection (ANID) is an important problem that has been
researched within diverse research areas and various application domains. Several …

Intrusion detection is so much popular since the last two decades where intrusion is
attempted to break into or misuse the system. It is mainly of two types based on the …

As network techniques rapidly evolve, attacks are becoming increasingly sophisticated and
threatening. Network intrusion detection has been widely accepted as an effective method to …

In this paper, a new hybrid intrusion detection method that hierarchically integrates a misuse
detection model and an anomaly detection model in a decomposition structure is proposed …

Intrusion detection is a critical component of secure information systems. Network anomaly
detection has been an active and difficult research topic in the field of Intrusion Detection for …

Machine learning-based anomaly detection approaches have attracted increasing attention
in the network intrusion detection community because of their intrinsic capabilities in …

This paper describes the advantages of using the anomaly detection approach over the
misuse detection technique in detecting unknown network intrusions or attacks. It also …