Soft computing comprises various paradigms dedicated to approximately solving real-world
problems, eg in decision making, classification or learning; among these paradigms are …

This monograph provides novel insights into cognitive mechanisms underlying the
processing of sound and music in different environments. A solid understanding of these …

Many Intrusion Detection approaches (IDS) have been developed in the literature. Signature
based approaches for anomaly detection need to be updated with the latest signatures of …

Most of the existing IDS use all the features in network packet to evaluate and look for known
intrusive patterns. Some of these features are irrelevant and redundant. The drawback to this …

Existing Intrusion Detection Systems (IDS) examine all the network features to detect
intrusion or misuse patterns. In feature-based intrusion detection, some selected features …

This paper presents an approach to classifying power system faults using rough set
methods. A knowledge-based fault detection and identification (FDI) system for power …

Intrusion detection system (IDS) detects intrusion attempts on computer systems. In intrusion
detection systems, feature reduction, feature extraction and feature selection play important …

Existing intrusion detection techniques emphasize on building intrusion detection model
based on all features provided. But not all the features are relevant ones and some of them …

Data Security has become a very serious part of any organizational information system.
Internet threats have become more intelligent so it can deceive the basic security solutions …

Abstract Current Intrusion Detection Systems (IDS) examine a large number of data features
to detect intrusion or misuse patterns. Some of the features may be redundant or with a little …