A Review of Feature Reduction in Intrusion Detection System Based on Artificial Immune System and Neural Network

Journal Title: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY - Year 2013, Vol 9, Issue 3

Abstract

Feature reduction plays an important role in intrusion detection system. The large amount of feature in network as well as host data effect the performance of intrusion detection method. Various authors are research proposed a method of intrusion detection based on machine learning approach and neural network approach, but all of these methods lacks in large number of feature attribute in intrusion data. In this paper we discuss its various method of feature reduction using artificial immune system and neural network. Artificial immune system is biological inspired system work as mathematical model for feature reduction process. The neural network well knows optimization technique in other field. In this paper we used neural network as feature reduction process. The feature reduction process reduces feature of intrusion data those are not involved in security threats and attacks such as TCP protocol, UDP protocol and ICMP message protocol. This reduces feature-set of intrusion improve the classification rate of intrusion detection and improve the speed performance of the intrusion detection system. The current research going on fixed and static number of feature reduction, we proposed an automatic and dynamic feature reduction technique using PCNN network.

Authors and Affiliations

Uma Vishwakarma, Prof. Anurag Jain, Prof. Akriti Jain

Keywords

Related Articles

A REVIEW ON GENERAL SELF-ORGANIZED TREE-BASED ENERGY-BALANCE ROUTING PROTOCOL FOR WIRELESS SENSOR NETWORK

The quick escalations in network multimedia devices have permitted extra concurrent digital services: video conferencing, online playoffs as well as remote learning to nurture for conform e-net jobs. WSNs have become maj...

Mapping between XML and RDF via DTD

XML has gained massive popularity for representation of data in last decades. Both HTML and XML are used as primary data formats since the existence of World Wide Web. As the amount of data is growing, need has emerged t...

Implementation of Extemporaneous Preparation Using Bar Coding Technology

Extemporaneous Preparation (Drug Compounding) - the creation of a drug product by mixing ingredients -  is an important part of ensuring that medications are available to meet individual patient needs, the quality a...

Design of Phase Shift Control For Transmit/ Receive Module of ST Radar

The paper mainly focuses on the beam forming and its analysis for planar phased- array antenna, which is being developed as part of the ST Radar. The beam steering is done electronically by controlling the phase of the T...

Multilingual Text to Speech in embedded systems using RC8660

Most multilingual Test to Speech (TTS) systems are software applications which allow people with visual impairments or reading disabilities to listen the written material using computer. This paper describes an approach...

Download PDF file
  • EP ID EP650157
  • DOI 10.24297/ijct.v9i3.3338
  • Views 86
  • Downloads 1

How To Cite

Uma Vishwakarma, Prof. Anurag Jain, Prof. Akriti Jain (2013). A Review of Feature Reduction in Intrusion Detection System Based on Artificial Immune System and Neural Network. INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY, 9(3), 1127-1133. https://europub.co.uk/articles/-A-650157