Subjective Logic-Based Anomaly Detection Framework in Wireless Sensor Networks
Joint Authors
Zhou, Hongwei
Yuan, Jinhui
Chen, Hong
Source
International Journal of Distributed Sensor Networks
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-01-19
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Telecommunications Engineering
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Yuan, Jinhui& Zhou, Hongwei& Chen, Hong. 2012. Subjective Logic-Based Anomaly Detection Framework in Wireless Sensor Networks. International Journal of Distributed Sensor Networks،Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-475080
Modern Language Association (MLA)
Yuan, Jinhui…[et al.]. Subjective Logic-Based Anomaly Detection Framework in Wireless Sensor Networks. International Journal of Distributed Sensor Networks No. 2012 (2012), pp.1-13.
https://search.emarefa.net/detail/BIM-475080
American Medical Association (AMA)
Yuan, Jinhui& Zhou, Hongwei& Chen, Hong. Subjective Logic-Based Anomaly Detection Framework in Wireless Sensor Networks. International Journal of Distributed Sensor Networks. 2012. Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-475080
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-475080