Nowadays, information plays an important role in organizations. Sensitive information is often stored in databases. Traditional mechanisms such as encryption, access control, and authentication cannot provide a high level of confidence. Therefore, the existence of Intrusion Detection Systems in databases is necessary. In this paper, we propose an intrusion detection system for detecting attacks...

This paper analysis and criticizes the way of using, functioning the intrusion detection system in data mining. Understanding the techniques. A survey on Data Mining based Intrusion Detection Systems phase, intrusion detection system is studied. are analysed using any network administrator. 1Data Mining and Optimization Research Group (DMO), Centre for Artificial Intrusion Detection System (IDS...

Abstract- With the advancement and development of computer network technologies, the way for intruders has become smoother; therefore, to detect threats and attacks, the importance of intrusion detection systems (IDS) as one of the key elements of security is increasing. One of the challenges of intrusion detection systems is managing of the large amount of network traffic features. Removing un...

session initiation protocol (sip) is the main signaling protocol of next generation networks (ngn). sip based applications are usually deployed over the internet, for which their text-based nature and internal stateful operation make them vulnerable to different types of attacks. the real‑time functionality of sip based applications make their related security systems more complex. on the other...

in recent years mobile networks have expanded dramatically, compared with other wireless networks. routing protocols in these networks are designed with the assumption that there is no attacker node, so routing protocols are vulnerable to various attacks in these networks. in this paper, we review the network layer attacks and then we simulate the impact of black hole attack on ad hoc on demand...

predicting different behaviors in computer networks is the subject of many data mining researches. providing a balanced intrusion detection system (ids) that directly addresses the trade-off between the ability to detect new attack types and providing low false detection rate is a fundamental challenge. many of the proposed methods perform well in one of the two aspects, and concentrate on a su...

This paper analyzes the current situation of the intrusion detection system, which is the basis to put forward that data mining technology is to be applied to the intrusion detection system in terms of the problems of the traditional intrusion detection system. Meanwhile, the paper designs the intrusion detection model of data mining. With the study on intrusion detection and data mining, the a...

Security is becoming a critical part of organizational information systems and security of a computer system or network is compromised when an intrusion takes place. In the field of computer networks security, the detection of threats or attacks is nowadays a critical problem to solve. Intrusion Detection Systems (IDS) have become a standard component in network security infrastructures and is ...

The intrusion detection system identifies the legitimate and attackers in the network area. The intrusion detection system is designed in two categories. In the first model a system component is used for monitoring the security of a WSN and diagnosing compromised or vulnerable. Second model is the monitoring or surveillance system for detecting a malicious intruder that invades the network doma...

Consequently, Intrusion Detection Systems (IDS) are quickly becoming a Intrusion Detection System Using Ontology and Clustering Techniques, Book Title. NIDS solutions offer sophisticated, real-time intrusion detection capabilities often Though this method takes time to set up, as baselining requires the NIDS. State-of-the-art intrusion detection, prevention and reaction simulation systems analy...