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: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2012-01-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2012/482191 |
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| _version_ | 1832545266995036160 |
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| author | Jinhui Yuan Hongwei Zhou Hong Chen |
| author_facet | Jinhui Yuan Hongwei Zhou Hong Chen |
| author_sort | Jinhui Yuan |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-d48e2e3337aa40af9084134404633556 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-d48e2e3337aa40af90841344046335562025-02-03T07:26:21ZengWileyInternational 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 |
| spellingShingle | Jinhui Yuan Hongwei Zhou Hong Chen Subjective Logic-Based Anomaly Detection Framework in Wireless Sensor Networks International Journal of Distributed Sensor Networks |
| title | 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_short | Subjective Logic-Based Anomaly Detection Framework in Wireless Sensor Networks |
| title_sort | subjective logic based anomaly detection framework in wireless sensor networks |
| url | https://doi.org/10.1155/2012/482191 |
| work_keys_str_mv | AT jinhuiyuan subjectivelogicbasedanomalydetectionframeworkinwirelesssensornetworks AT hongweizhou subjectivelogicbasedanomalydetectionframeworkinwirelesssensornetworks AT hongchen subjectivelogicbasedanomalydetectionframeworkinwirelesssensornetworks |