Earticle

초록

영어

Feature selection algorithm plays a crucial role in intrusion detection, data mining and pattern recognition. According to some evaluation criteria, it gets optimal feature subset by deleting unrelated and redundant features of the original data set. Aiming at solving the problems about the low accuracy, the high false positive rate and the long detection time of the existing feature selection algorithm. In this paper, we come up with a feature selection algorithm towards efficient intrusion detection, this algorithm combines the correlation algorithm and redundancy algorithm to chooses the optimal feature subset. Experimental results show that the algorithm shows almost and even better than the traditional feature selection algorithm on the different classifiers.

목차

Abstract
 1. Introduction
  1.1. The background and Significance of the Research
  1.2. The Status of Feature Selection Algorithm at Home and Abroad
  1.3. The Problem Faced by Feature Selection Algorithm
  1.4 The Work in this Paper
 2. Feature Selection Algorithm
  2.1. Definitions
  2.2 The Commonly Used Method of Feature Selection
 3. Feature Selection Algorithm in this Paper
 4. Experimental Study
  4.1. Data Sets
  4.2. Pretreatment
  4.3. Experiment Results
 5. Conclusions
 References

키워드

저자

• Chunyong Yin [ School of Computer and Software, Jiangsu Key Laboratory of Meteorological Observation and Information Processing, Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science & Technology, Nanjing 210044, China ]
• Luyu Ma [ School of Computer and Software, Jiangsu Key Laboratory of Meteorological Observation and Information Processing, Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science & Technology, Nanjing 210044, China ]
• Lu Feng [ School of Computer and Software, Jiangsu Key Laboratory of Meteorological Observation and Information Processing, Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science & Technology, Nanjing 210044, China ]
• Zhichao Yin [ Nanjing No.1 Middle School, Nanjing 210001, China ]
• Jin Wang [ School of Computer and Software, Jiangsu Key Laboratory of Meteorological Observation and Information Processing, Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science & Technology, Nanjing 210044, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605