Research on performance optimizations for TCM-KNN network anomaly detection algorithm

Research on performance optimizations for TCM-KNN network anomaly detection algorithm

Based on TCM-KNN（transductive confidence machine for K-nearest neighbors） algorithm,the filter-based feature selection and cluster-based instance selection methods were used towards optimizing it as a lightweight network anomaly detection scheme,which not only reduced its complex feature space,but a...

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Bibliographic Details
Main Authors: LI Yang1, GUO Li1, LU Tian-bo3, TIAN Zhi-hong1
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2009-01-01
Series:Tongxin xuebao
Subjects:
network security
anomaly detection
TCM-KNN algorithm
feature selection
instance selection
Online Access:http://www.joconline.com.cn/zh/article/74651426/
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