面向云计算的虚假信息过滤方法仿真

Simulation of False Information Filtering for Cloud Computing

对云计算下的虚假信息的过滤,能够有效提高云计算信息真实度。对云计算下虚假信息的过滤,需要分析云计算误差与关联信息之间内在联系,进而判断信息定位点的置信度,完成云计算中信息的虚假点的过滤。传统方法先形成云计算目标位置匹配搜索域,进而对运动信息目标进行真实度匹配,但忽略了对信息点的位置信度的获取,导致云计算中虚假信息过滤不彻底。提出基于接收信号强度的过滤方法,在云计算环境中采用两个独立传感器对测量区域内的目标物体进行跟踪获得航迹关联信息,分析了传感器系统误差与航迹关联信息的内在联系,建立系统误差模型;利用电磁波传播理论,建立无线电的自由空间传播模型,根据传感器接收信号强度和传播路径衰减指数的关系判断各个定位点的置信度,能够实现虚假信息的高效过滤。实验结果表明,所提方法能够实现云计算中虚假信息的高效过滤。

Traditional filtering method for false information under cloud computing always ignores to acquire position confidence of information point, which leads to halfway filtering. In order to solve the problem, based on the received signal strength, a new filtering method is presented in this article. Two independent sensors were used under the cloud computing to track target object in measurement area and obtain track association information. Inner link between sensor system error and the track association information was analyzed. Model of the system error was built. Model of free - space propagation of radio was built via theory of electromagnetic wave propagation. According to relationship between the received signal strength of sensor and attenuation index of propagation path, confidence coefficient of each Locating point was judged. Thus, the efficient filtering was completed. Simulation results show that the method can achieve efficient filtering of false information.