Diagnosing Anomalies and Identifying Faulty Nodes in Sensor Networks

In this paper, an anomaly detection approach that fuses data gathered from different nodes in a distributed sensor network is proposed and evaluated. The emphasis of this work is placed on the data integrity and accuracy problem caused by compromised or malfunctioning nodes. The proposed approach ut...

Full description

Saved in:
Bibliographic Details
Published in:IEEE sensors journal 2007-05, Vol.7 (5), p.637-645
Main Authors: Chatzigiannakis, V., Papavassiliou, S.
Format: Article
Language:English
Subjects:
Acoustic sensors
Anomalies
Anomaly detection
Chemical sensors
Collaboration
Correlation
Fault diagnosis
Fuses
Integrity
Meteorology
Methodology
Networks
Principal component analysis
principal component analysis (PCA)
Sensor fusion
Sensor phenomena and characterization
Sensor systems
Sensors
spatial correlation
Wireless sensor networks
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper, an anomaly detection approach that fuses data gathered from different nodes in a distributed sensor network is proposed and evaluated. The emphasis of this work is placed on the data integrity and accuracy problem caused by compromised or malfunctioning nodes. The proposed approach utilizes and applies Principal Component Analysis simultaneously on multiple metrics received from various sensors. One of the key features of the proposed approach is that it provides an integrated methodology of taking into consideration and combining effectively correlated sensor data, in a distributed fashion, in order to reveal anomalies that span through a number of neighboring sensors. Furthermore, it allows the integration of results from neighboring network areas to detect correlated anomalies/attacks that involve multiple groups of nodes. The efficiency and effectiveness of the proposed approach is demonstrated for a real use case that utilizes meteorological data collected from a distributed set of sensor nodes
ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2007.894147