A Technical Review on Intrusion Detection System

Abstract

Network security is a big issue at present for large organizations. There are many types of Intrusion Detection Systems like Host Based IDS, Network Based IDS, Anomaly Based IDS and Misuse Based IDS etc. There are various methods to implement IDS that are based on some artificial intelligence concepts which improve performance of IDS. Some of those techniques are Neural Network, Data Mining, Genetic algorithm, Fuzzy Logic etc. The paper reviews these techniques and their comparison in brief.

Authors and Affiliations

Sejal K. Patel , Umang H. Mehta , Urmi M. Patel , Dhruv H. Bhagat , Pratik Nayak , Ankita D. Patel

Keywords

Related Articles

Security Issues In Mobile Cloud Computing

Mobile Cloud Computing (MCC) is a revolution in the field of mobile world. This paper presents the concept of mobile cloud computing which is a current gist in the field of computer. Beside this it acquaint with a new te...

Parallel Regulation Technique Based Charge controller to operate DC Motor

As the sources of conventional energy deplete day by day, resorting to alternative sources of energy like solar energy has become need of the hour. Solar-powered systems consist of four components: solar panel, charge co...

Comparative study of Gradient based image denoising methods

Images are playing very key role in various applications like medical imaging, remote sensing, and scientificresearch and in all these applications image clarity plays a major role. Any image that is captured has to be p...

An analysis of LEACH Protocol in Wireless Sensor Network: A Survey

Wireless Sensor Network is composed of numbers of tiny sensors (nodes) which have the capability of gathering the data about environmental activities and making certain computations on them so that they can be communicat...

Association Rules and Mining Frequent Itemsets using Algorithms

Association rules are the main technique for data mining. Association rule mining is to find association relationships among large data sets. Mining frequent patterns is an important aspect in association rule mining. In...

Download PDF file
  • EP ID EP105634
  • DOI -
  • Views 126
  • Downloads 0

How To Cite

Sejal K. Patel, Umang H. Mehta, Urmi M. Patel, Dhruv H. Bhagat, Pratik Nayak, Ankita D. Patel (2015). A Technical Review on Intrusion Detection System. International Journal of Computer Science & Engineering Technology, 6(1), 17-22. https://europub.co.uk/articles/-A-105634