Recently, research on intrusion detection in computer systems has received much attention to the computational intelligence society. Many intelligence learning algorithms applied to the huge volume of complex and dynamic dataset for the construction of efficient intrusion detection systems (IDSs). Despite of many advances that have been achieved in existing IDSs, there are still some difficulti...

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...

Internet growth has increased rapidly due to which number of network attacks have been increased. This emphasis importance of network intrusion detection systems (IDS) for securing the network. It is the process of monitoring and analyzing network traffic for detecting security violations many researcher suggested data mining technique such as classification, clustering ,pattern matching and ru...

Intrusion Detection Systems are increasingly a key part of systems defense. Various approaches to Intrusion Detection are currently being used, but they are relatively ineffective. Artificial Intelligence plays a driving role in security services. This paper proposes a dynamic model Intelligent Intrusion Detection System, based on specific AI approach for intrusion detection. The techniques tha...

Intrusion Detection Systems are increasingly a key part of systems defense. Various approaches to Intrusion Detection are currently being used, but they are relatively ineffective. Artificial Intelligence plays a driving role in security services. This paper proposes a dynamic model Intelligent Intrusion Detection System, based on specific AI approach for intrusion detection. The techniques tha...

Intrusions are the activities that violate the security policy of system. Intrusion Detection is the process used to identify intrusions. Network security is to be considered as a major issue in recent years, since the computer network keeps on extending dramatically. Information Systems and Networks are subject to electronic attacks and the possibilities of intrusion are very high. An Intrusio...

Intrusion Detection System (IDS) due to novel attack method or upgraded. Because many current IDSs are constructing by point instruction of professional knowledge, changes to IDSs are costly and slow. Intrusion detection techniques can be categorize into irregularity detection and mistreat detection. Anomaly detection systems, for example, IDES Intrusion detection systems (IDS) process large am...

In this paper we propose a framework for intrusion detection called Fuzzy Agent-Based Intrusion Detection. A unique feature of our model is that the agents use the fuzzy logic to process log files. This reduces the overhead in a distributed intrusion detection system. We have developed an agent communication architecture that provides a prototype implementation. Key-Words: intrusion detection, ...

Because all vulnerabilities of a network cannot be predicted beforehand, and penetration of the system cannot always be prevented, intrusion detection systems have become necessary to ensure the security of a network. The intrusion detection systems need to be accurate, adaptive, and extensible. Given these requirements and the complexities of today’s network environments, the design of an intr...

Intrusion detection is an active research field in the development of reliable web-based information systems, where many artificial intelligence techniques are exploited to fit the specific application. Although some detection algorithms have been developed, they lack the adaptability to the frequently changing network environments, since they are mostly trained in batch mode. In this paper, we...