A new online anomaly learning and detection for large-scale service of Internet of Thing
文献类型：期刊论文
| 作者 | Wang JP(王军平) ; JUNPING WANG
|
| 刊名 | Personal and Ubiquitous Computing
 |
| 出版日期 | 2015-08-23 |
| 卷号 | 19期号:7页码:1021–1031 |
| 关键词 | Internet Of Thing Predictive Manufacturing Online Anomaly Learning And Detection |
| 英文摘要 | The online anomaly detection has been propounded as the key idea of monitoring fault of large-scale sensor nodes in Internet of Things. Now, the exciting progresses of research have been made in online anomaly detection area. However, the highly dynamic distributing character of Internet of Things makes the anomaly detection scheme difficult to be used in online manner. This paper presents a new online anomaly learning and detection mechanism for large-scale service of Internet of Thing. Firstly, our model uses the reversible-jump MCMC learning to online learn anomaly-free of dynamics network and service data. Next, we perform a structural analysis of IoT-based service topology by network utility maximization theory. The results of experiment demonstrate the method accuracy in forecasting dynamics network and service structures from synthetic data. |
| 语种 | 英语 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/12215]  |
| 专题 | 精密感知与控制研究中心_人工智能与机器学习 |
| 通讯作者 | JUNPING WANG |
| 作者单位 | Laboratory of Precision Sensing and Control Center, Institute of Automation, Chinese Academy |
| 推荐引用方式 GB/T 7714 | Wang JP,JUNPING WANG. A new online anomaly learning and detection for large-scale service of Internet of Thing[J]. Personal and Ubiquitous Computing,2015,19(7):1021–1031. |
| APA | Wang JP,&JUNPING WANG.(2015).A new online anomaly learning and detection for large-scale service of Internet of Thing.Personal and Ubiquitous Computing,19(7),1021–1031. |
| MLA | Wang JP,et al."A new online anomaly learning and detection for large-scale service of Internet of Thing".Personal and Ubiquitous Computing 19.7(2015):1021–1031. |
入库方式： OAI收割
来源：自动化研究所
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