Trustworthy and protected data collection for event detection using networked sensing systems
Trustworthy and protected data collection for event detection using networked sensing systems
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DOI：
10.1109/sarnof.2016.7846745
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发表时间：
2016-09
期刊：
影响因子：
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通讯作者：
Md. Zakirul Alam Bhuiyan;Jie Wu
中科院分区：
文献类型：
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作者：
Md. Zakirul Alam Bhuiyan;Jie Wu
在无线网络传感系统（WNSS）中，由于传感器故障和/或安全攻击，数据采集通常不可靠。这使得通过数据聚合检测事件（例如，结构损坏）变得不可靠。在本文中，我们提出了一个可信和受保护的数据收集（TPDC）框架，用于WNSS中的事件检测。该框架为WNSS集群的聚合提供了可靠的数据。TPDC的关键思想是允许集群头在集群聚集数据之前检查传输的数据是否可信（即，在传感器节点级别估计的未更改）和受保护（即，在传输后未更改地接收）。对于可信数据，我们提出了一种保证传输数据不变的算法。对于受保护的数据，我们提出了一种真相发现方法，其目标是从不可靠的传感器数据中推断出真实的事实。仿真结果表明，TPDC中收集的数据是可信的、受保护的，可以使聚合事件检测更加可靠。
Data collection in wireless networked sensing systems (WNSS) is usually not reliable due to sensor faults and/or security attacks. This makes detection of an event (e.g., structural damage) through data aggregation unreliable. In this paper, we propose a trustworthy and protected data collection (TPDC) framework for event detection in WNSS. This framework facilitates reliable data for aggregation at clusters of WNSS. The key idea of TPDC is to allow a cluster head to check whether or not the transmitted data is trustworthy (i.e., unaltered estimated at the sensor node level) and protected (i.e., received without alteration after the transmission) before aggregating the data at a cluster. For the trustworthy data, we propose an algorithm to make sure that transmitted data is unaltered. For the protected data, we present a truth discovery approach, whose goal is to infer truthful facts from unreliable sensor data. Through simulations, we demonstrate that the collected data in TPDC is trustworthy and protected that can make aggregation for event detection reliable.