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学科主题: 临床医学
题名:
Security assurance in wireless acoustic sensors via event forecasting and detection
作者: Zhong, Zhen1; Zhao, Chenglin2; Pi, Yiming3; Wang, Lingming4
关键词: security assurance ; acoustic signals ; acoustic sensors ; fuzzy logic systems ; self-similarity ; prediction ; event detection
刊名: SECURITY AND COMMUNICATION NETWORKS
发表日期: 2015-11-10
DOI: 10.1002/sec.538
卷: 8, 期:16, 页:2671-2677
收录类别: SCI
文章类型: Article
WOS标题词: Science & Technology
类目[WOS]: Computer Science, Information Systems ; Telecommunications
研究领域[WOS]: Computer Science ; Telecommunications
关键词[WOS]: FUZZY-LOGIC SYSTEMS ; ADAPTIVE FILTERS ; SELF-SIMILARITY ; NETWORKS ; DESIGN
英文摘要:

In this paper, we study the security assurance in application layer in wireless acoustic sensors via event forecasting and detection. In order to perform event forecasting and detection, we try to answer several challenging questions in acoustic signal research based on wireless acoustic sensors: (i) Are acoustic signals predictable? (ii) How are acoustic signals predicted? (iii) Are there any event-forecasting applications for the security in wireless acoustic sensors? We study these questions based on Xbow acoustic sensors and demonstrate that real-world acoustic signals are self-similar, which means that they are predictable. We propose an acoustic signal prediction scheme using interval type-2 fuzzy logic system (FLS). We show that a type-2 fuzzy membership function (MF); that is, a Gaussian MF with uncertain mean is appropriate to model the acoustic signal strength. Two FLSs, a type-1 FLS, and an interval type-2 FLS are designed for signal strength forecasting. Furthermore, we propose a double sliding window scheme for event detection based on the forecasted signals. Simulation results show that the interval type-2 FLS outperforms the type-1 FLS in signal strength forecasting and the performance of event detection based on the forecasted signal from type-2 FLS is much better than that based on type-1 FLS. Copyright (c) 2012 John Wiley & Sons, Ltd.

语种: 英语
WOS记录号: WOS:000363086500006
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.bjmu.edu.cn/handle/400002259/50692
Appears in Collections:北京大学第一临床医学院_期刊论文

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作者单位: 1.Peking Univ, ENT Head & Neck Surg Dept, Hosp 1, Beijing 100034, Peoples R China
2.Beijing Univ Posts & Telecommun, Key Lab Univ Wireless Commun, MoE, Beijing 100876, Peoples R China
3.Univ Elect Sci & Technol, Coll Elect Engn, Chengdu 610054, Sichuan, Peoples R China
4.iBiqu Digital Corp, Basking Ridge, NJ 07920 USA

Recommended Citation:
Zhong, Zhen,Zhao, Chenglin,Pi, Yiming,et al. Security assurance in wireless acoustic sensors via event forecasting and detection[J]. SECURITY AND COMMUNICATION NETWORKS,2015,8(16):2671-2677.
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