In the field of internet, network based application plays a vital role, where data transfers mostly in digital forms in various formats from source to destinations. In this digital exchange of information there are several possibilities of attacks and vulnerabilities. Intrusion detection systems are widely used to protect networks. An efficient detection of intrusion from network data set is a ...

In today’s world the number of online applications are increasing. With the increasing number of online applications the threat to the security of these applications is also increasing. The increasing number of cyber attacks have challenged the security of these online applications. DoS is one such type of cyber-attack which aims at making the website and the resources of the server unavailable...

In the field of Information technology security plays a vital role. Unauthorized entries or any anomalies in system are known as intrusion and detection of these anomalies are known as Intrusion Detection System (IDS). As the attacks have increased in huge numbers over the past few years, IDS is increasingly becoming a critical component to secure the network. Designing of an efficient Intrusio...

During the last decade the analysis of intrusion detection has become very significant, the researcher focuses on various dataset to improve system accuracy and to reduce false positive rate based on DAPRA 98 and later the updated version as KDD cup 99 dataset which shows some statistical issues, it degrades the evaluation of anomaly detection that affects the performance of the security analys...

An intrusion detection system (IDS) detects unauthorized manipulations of computer systems. Operation as feature reduction (including feature extraction and feature selection) plays an important role in the sense of improving classification performance and reducing the computational complexity of intrusion detection system. Feature reduction is even more important at online detection when less ...

INTRODUCTION The KDD Cup is the oldest of the many data mining competitions that are now popular [1]. It is an integral part of the annual ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). In 2007, the traditional KDD Cup competition was augmented with a workshop with a focus on the concurrently active Netflix Prize competition [2]. The KDD Cup itself in 2007 con...

With the tremendous growth of network-based services and sensitive information on networks, network security is getting more and more importance than ever. Intrusion poses a serious security risk in a network environment. The ever growing new intrusion types posses a serious problem for their detection. The human labelling of the available network audit data instances is usually tedious, time c...