The Intrusion detection system deals with huge amount of data which contains irrelevant and redundant features causing slow training and testing process, higher resource consumption as well as poor detection rate. Feature selection, therefore, is an important issue in intrusion detection. In this paper we introduce concepts and algorithms of feature selection, survey existing feature selection ...

Wireless Sensor Networks (WSNs) have been employed in many real-world applications that greatly improve our life. by applying a genetic operator. However, the Intrusion detection systems in wireless sensor networks: A review. Intrusion Detection System (IDS) provides a solution to this problem by analysing the network in order to detect abnormal behaviour of the sensor node(s). A well designed ...

A distributed network intrusion detection system (IDS) called SA-NIDS is proposed based on the network-based intrusion detection architecture. It includes three basic components, Local Intrusion Detection Monitor (LIDM), Global Intrusion Detection Controller (GIDC), and Surveillance Agent (SA). Basically, the LIDM is used to do packets capturing, packets de-multiplexing, local intrusion detecti...

Designers of intrusion detection systems are often faced with the problem that their design fails to meet the specification because the actual implementation is not able to detect attacks as required. This work aims at addressing such shortcomings at an early stage of the design process. The proposed method provides guidance to intrusion detection systems designers by predicting whether or not ...

In this paper, we present adaptive model generation, a method for automatically building detection models for data-mining based intrusion detection systems. Using the same data collected by intrusion detection sensors, adaptive model generation builds detection models on the fly. This significantly reduces the deployment cost of an intrusion detection system because it does not require building...

Intrusion detection is a problem of great significance to protecting information systems security. An intruder may move between multiple nodes in the network to conceal the origin of attack. Distributed intrusion detection and prevention plays an increasingly important role in securing computer networks. To overcome the limitations of conventional intrusion detection systems, alerts are made in...

The security of a computer system is compromised when an intrusion takes place. The popularization of shared networks and Internet usage demands increases attention on information system security. Importance of Intrusion detection system (IDS) in computer network security well proven. Data mining approach can play very important role in developing intrusion detection system. Classification is i...

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