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Privacy measurement and quantification

机译:隐私权衡量和量化

摘要

System(s) and method(s) to provide privacy measurement and privacy quantification of sensor data are disclosed. The sensor data is received from a sensor. The private content associated with the sensor data is used to calculate a privacy measuring factor by using entropy based information theoretic model. A compensation value with respect to distribution dissimilarity is determined. The compensation value compensates a statistical deviation in the privacy measuring factor. The compensation value and the privacy measuring factor are used to determine a privacy quantification factor. The privacy quantification factor is scaled with respect to a predefined finite scale to obtain at least one scaled privacy quantification factor to provide quantification of privacy of the sensor data.
机译:公开了提供传感器数据的隐私测量和隐私量化的系统和方法。从传感器接收传感器数据。与传感器数据关联的私有内容用于通过使用基于熵的信息理论模型来计算隐私测量因子。确定关于分布不相似的补偿值。补偿值补偿隐私测量因子中的统计偏差。补偿值和隐私测量因子用于确定隐私量化因子。相对于预定的有限比例缩放隐私量化因子,以获得至少一个缩放的隐私量化因子,以提供传感器数据的隐私量化。

著录项

  • 公开/公告号US9547768B2

    专利类型

  • 公开/公告日2017-01-17

    原文格式PDF

  • 申请/专利权人 TATA CONSULTANCY SERVICES LIMITED;

    申请/专利号US201514627185

  • 发明设计人 ARIJIT UKIL;SOMA BANDYOPADHYAY;ARPAN PAL;

    申请日2015-02-20

  • 分类号G06F21;G06F21/57;G06F21/62;G06F11/30;G06F11/34;G06F11;G06F12/14;G06F12/16;G08B23;

  • 国家 US

  • 入库时间 2022-08-21 13:43:41

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