|Table of Contents|

Wavelet Analysis-Based Real-Time Anomaly Detection Algorithm for Wireless Sensor Network(PDF)

《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

Issue:
2014年01期
Page:
87-
Research Field:
计算机科学
Publishing date:

Info

Title:
Wavelet Analysis-Based Real-Time Anomaly Detection Algorithm for Wireless Sensor Network
Author(s):
Li Zhiyuan; Zhu Qiuzhi; Wu Yongkun; Tang Zhenyu; Hu Huaming
School of Computer Science and Telecommunication Engineering,Jiangsu University,Zhenjiang 212013,China
Keywords:
wireless sensor networks; security; anomaly detection; wavelet analysis; Hurst parameter
PACS:
TP393
DOI:
-
Abstract:
Anomaly detection can detect new and unknown attacks,which has great significance on the wireless sensor networks security.Nowadays,the proposed anomaly detection schemes has poor real-time,high false positive rate and the large amount of computational overhead,and hence the schemes are not suitable for wireless sensor networks.In this paper,a wavelet analysis-based real-time anomaly detection(Wavelet Analysis-based Real-time Anomaly Detection,WARAD)algorithm for wireless sensor network is proposed.Throughout the detecting process,the WARAD algorithm reversely collects the real-time network traffic,and then uses the variance of the wavelet coefficients in the small-scale interval to compute the Hurst values,which can improve the real-time and the accuracy of anomaly detection,and reduce the computational complexity of solving the Hurst values.Finally,the WARAD algorithm-based intrusion detection system is implemented on the platform of MeshIDE.The experimental results showed that the proposed algorithm greatly improved the real-time of anomaly detection for wireless sensor networks,and reduced the false positive rate and the false negative rate of anomaly detection.

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Memo

Memo:
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Last Update: 2014-03-30