Earticle

초록

영어

Considering that intrusion detection systems and anomaly clearly recognize malicious activity. Nowadays, data mining based intrusion detection systems, security and more rapidly detect attacks.Therefore,in this article we use a combination of k-means clustering algorithm and is used supervised support vector machine algorithm to find the best line separator. This is leading to the separation of normal and attack traffic.

목차

Abstract
 1. Introduction
 2. Intrusion Detection System
 3. Clustering
  3.1 Clustering with Only Link
  3.2 Clustering with Full Links
  3.3 Mean Link Clustering Method
  3.4 Clustering Using Group Mean the Link
  3.5 Clustering by the distance between
  3.6. Algorithm K -Means
 4. Support Vector Machine
 5. Clustering Algorithms in Intrusion Detection Systems
 6. The Method Proposed
 7. Conclusion
 References

키워드

저자

• Narges Salehpour [ Department of Computer, Science, College of Lorestan, Islamic Azad University, Khorramabad, Iran Department of Computer, Khorramabad Branch, Islamic Azad University, Khorramabad, Iran ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of u- and e- Service, Science and Technology

• 간기

  격월간

• pISSN

  2005-4246

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605