Subjective Logic-Based Anomaly Detection Framework in Wireless Sensor Networks

Subjective Logic-Based Anomaly Detection Framework in Wireless Sensor Networks

In existing anomaly detection approaches, sensor node often turns to neighbors to further determine whether the data is normal while the node itself cannot decide. However, previous works consider neighbors' opinions being just normal and anomalous, and do not consider the uncertainty of neighb...

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Main Authors: Jinhui Yuan, Hongwei Zhou, Hong Chen
Format: Article
Language:English
Published: SAGE Publishing 2012-01-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2012/482191
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spelling doaj-d48e2e3337aa40af90841344046335562020-11-25T04:03:12ZengSAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772012-01-01810.1155/2012/482191Subjective Logic-Based Anomaly Detection Framework in Wireless Sensor NetworksJinhui Yuan0Hongwei Zhou1Hong Chen2 Institute of Electronic Technology, Information Engineering University, Zhengzhou 450004, China Institute of Electronic Technology, Information Engineering University, Zhengzhou 450004, China School of Information, Renmin University of China, Beijing 100872, ChinaIn existing anomaly detection approaches, sensor node often turns to neighbors to further determine whether the data is normal while the node itself cannot decide. However, previous works consider neighbors' opinions being just normal and anomalous, and do not consider the uncertainty of neighbors to the data of the node. In this paper, we propose SLAD (subjective logic based anomaly detection) framework. It redefines opinion deriving from subjective logic theory which takes the uncertainty into account. Furthermore, it fuses the opinions of neighbors to get the quantitative anomaly score of the data. Simulation results show that SLAD framework improves the performance of anomaly detection compared with previous works.https://doi.org/10.1155/2012/482191
collection DOAJ
language English
format Article
sources DOAJ
author Jinhui Yuan
Hongwei Zhou
Hong Chen
spellingShingle Jinhui Yuan
Hongwei Zhou
Hong Chen
Subjective Logic-Based Anomaly Detection Framework in Wireless Sensor Networks
International Journal of Distributed Sensor Networks
author_facet Jinhui Yuan
Hongwei Zhou
Hong Chen
author_sort Jinhui Yuan
title Subjective Logic-Based Anomaly Detection Framework in Wireless Sensor Networks
title_short Subjective Logic-Based Anomaly Detection Framework in Wireless Sensor Networks
title_full Subjective Logic-Based Anomaly Detection Framework in Wireless Sensor Networks
title_fullStr Subjective Logic-Based Anomaly Detection Framework in Wireless Sensor Networks
title_full_unstemmed Subjective Logic-Based Anomaly Detection Framework in Wireless Sensor Networks
title_sort subjective logic-based anomaly detection framework in wireless sensor networks
publisher SAGE Publishing
series International Journal of Distributed Sensor Networks
issn 1550-1477
publishDate 2012-01-01
description In existing anomaly detection approaches, sensor node often turns to neighbors to further determine whether the data is normal while the node itself cannot decide. However, previous works consider neighbors' opinions being just normal and anomalous, and do not consider the uncertainty of neighbors to the data of the node. In this paper, we propose SLAD (subjective logic based anomaly detection) framework. It redefines opinion deriving from subjective logic theory which takes the uncertainty into account. Furthermore, it fuses the opinions of neighbors to get the quantitative anomaly score of the data. Simulation results show that SLAD framework improves the performance of anomaly detection compared with previous works.
url https://doi.org/10.1155/2012/482191
work_keys_str_mv AT jinhuiyuan subjectivelogicbasedanomalydetectionframeworkinwirelesssensornetworks
AT hongweizhou subjectivelogicbasedanomalydetectionframeworkinwirelesssensornetworks
AT hongchen subjectivelogicbasedanomalydetectionframeworkinwirelesssensornetworks
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