Ensemble Classification for Intrusion Detection

Authors

  • Shweta Sharma Department of Computer Science & Engineering, ICOT, RGPV University, Bhopal, INDIA
  • Prof. Aishwarya Mishra Associate Professor, Department of Computer Science & Engineering, ICOT, RGPV University, Bhopal, INDIA

DOI:

https://doi.org/10.24113/ijoscience.v2i9.112

Keywords:

Intrusion Detection, Data mining, Classification, Decision tree, KNN, Support vector machine

Abstract

Security of network systems is becoming an important

issue, as more and sensitive information is being stored and manipulated online. Therefore, it is essential to find an effective way to protect it. Mining approach can play very important role in developing an intrusion detection system. This paper presents various data mining Classification techniques applied on intrusion detection systems for the effective identification of both known and unknown patterns of attacks, to develop secure information systems.

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Published

12/30/2016

How to Cite

Sharma, S., & Mishra, P. A. (2016). Ensemble Classification for Intrusion Detection. SMART MOVES JOURNAL IJOSCIENCE, 2(9). https://doi.org/10.24113/ijoscience.v2i9.112