The study examined the detection of attacks against computer networks, which is becoming a harder problem to solve in the field of Network security. A problem with current intrusion detection systems is that they have many false positive and false negative events. Most of the existing Intrusion detection systems implemented depend on rule-based expert systems where new attacks are not detectabl...

Nowadays the organizations are facing the number of threats every day in the form of viruses and attack etc. Since many different mechanisms were preferred by organizations in the form of intrusion detection and prevention system to protect its organizations from these kinds of attacks. Intrusion Detection System (IDS) is considered as a system integrated with intelligent subsystems. In this pa...

Intrusion detection technology is a research hotspot in the field of information security. This study introduces the types of traditional intrusion detection and data mining technology; Aiming at the defects and limitations of current intrusion detection system, the study has fused the data mining technology into intrusion detection model, and has designed and implemented the intrusion detectio...

-------------------------------------------------------------------ABSTRACT-----------------------------------------------------------------With the increase in the number of security threats, Intrusion Detection Systems have evolved as a significant countermeasure against these threats. And as such, the topic of Intrusion Detection Systems has become one of the most prominent research topics i...

Intrusion detection plays one of the key roles in computer system security techniques. This paper is dedicated to this topic. It describes major approaches to intrusion detection and focuses on methods used by intrusion detection systems. We do not describe in this paper details of existing intrusion detection system. Instead, we concentrate on underlying principles and methods. This paper can ...

A Swarm-intelligence-based intrusion detection technique is proposed to in order to reduce the misjudgment & misdetection and increase the real-time response in the existing intrusion detection techniques show. Separating a huge and complicated intrusion detection system into severer independent detection units with unique function so that the amount of detection data processing and the complex...

In today’s world, almost everybody is affluent with computers and network based technology is growing by leaps and bounds. So, network security has become very important, rather an inevitable part of computer system. An Intrusion Detection System (IDS) is designed to detect system attacks and classify system activities into normal and abnormal form. Machine learning techniques have been applied...

Due to the rapid growth of networked computer resources and the increasing importance of related applications, intrusions which threaten the infrastructure of these applications have are critical problems. In recent years, several intrusion detection systems designed to identify and detect possible intrusion behaviors. In this work, an intrusion detection model is proposed to for building an in...

Intrusion Detection Systems (IDSs) detects the network factor for traditional SNORT (Network Based Intrusion. Detection Using Genetic Algorithms for intrusion detection has proven to be an implementation method. Section IV. Designing of On Line Intrusion Detection System Using Rough Set Theory and Q Evaluation of Rough Set Theory Based Network Traffic Data Classifier Using Traffic Data Classifi...

Assuring secure and reliable operation of networks has become a priority research area these days because of ever growing dependency on network technology. Intrusion detection systems (IDS) are used as the last line of defense. Intrusion Detection System identifies patterns of known intrusions (misuse detection) or differentiates anomalous network data from normal data (anomaly detection). In t...