Intrusion detection is not yet a perfect technology. This has given data mining the opportunity
to make several important contributions to the field of intrusion detection. In this paper, we …

Today, with more and more computers getting connected to public accessible networks like
Internet, computer systems are more and more susceptible to attacks. There is a need of …

With the impending era of internet, the network security has become the key foundation for
lot of financial and business web applications. Intrusion detection is one of the looms to …

Abstract Intrusion Detection Systems form a key part of system defence, where it identifies
abnormal activities happening in a computer system. In recent years different soft computing …

Since SVM is sensitive to noises and outliers of system call sequence data. A new fuzzy
support vector machine algorithm based on SVDD is presented in this paper. In our …

With the development of web applications nowadays, intrusions represent a crucial aspect in
terms of violating the security policies. Intrusions can be defined as a specific change in the …

To improve the classification accuracy and reduce the training time, an intrusion detection
technology is proposed, which combines feature extraction technology and multiclass …

This study proposed an SVM-based intrusion detection system, which combines a
hierarchical clustering algorithm, a simple feature selection procedure, and the SVM …

Intrusion detection is an emerging area of research in the computer security and networks
with the growing usage of internet in everyday life. An Intrusion Detection is an important in …

Data mining has been popularly recognized as an important way to mine useful information
from large volumes of data that are noisy, fuzzy & random. Intrusion detection has become …