Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2013, Vol. 36 ›› Issue (6): 69-73.doi: 10.13190/j.jbupt.2013.06.015

• Papers • Previous Articles     Next Articles

Anomaly Detection for Distributed System Based on Measurement Attributes Analysis

ZHANG Le-jun, GUO Lin, ZHANG Jian-pei, YANG Jing, XIA Lei   

  1. College of Computer Science, Harbin Engineering University, Harbin 150001, China
  • Received:2012-12-06 Online:2013-12-31 Published:2013-10-08

Abstract:

The anomaly detection methods based on measurement attributes relationship analysis is proposed. The correlation between the measurement attributes in space grid structure is calculated, and hereby the relationship network model of measurement attributes is established. The network segmentation method is put forward based on hidden Markov model. The anomaly detection algorithm for distributed systems is designed by using the newest monitoring attributes correlation. The anomaly detection experiments demonstrate the effectiveness of the proposed method.

Key words: distribution system, measurement attribute, relationship segmentation, anomaly detection

CLC Number: