发明名称 PRIVACY MEASUREMENT AND QUANTIFICATION
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.
申请公布号 US2015261959(A1) 申请公布日期 2015.09.17
申请号 US201514627185 申请日期 2015.02.20
申请人 Tata Consultancy Services Limited 发明人 UKIL Arijit;BANDYOPADHYAY Soma;PAL Arpan
分类号 G06F21/57;G06F11/30;G06F11/34 主分类号 G06F21/57
代理机构 代理人
主权项 1. A method to provide privacy measurement and privacy quantification of sensor data, the method comprising: receiving sensor data from a sensor; calculating a privacy measuring factor with respect to a private content and a non-private content, wherein the private content and the non-private content are associated with the sensor data, wherein the privacy measuring factor is calculated by using a computation technique, and wherein the privacy measuring factor depicts an amount of privacy with respect to the private content; determining a compensation value with respect to a distribution dissimilarity of private content such that the compensation value compensates a statistical deviation in the privacy measuring factor, wherein the statistical deviation refers to a deviation in measurement of privacy while calculating the privacy measuring factor; determining a privacy quantification factor by using the compensation value and the privacy measuring factor; and scaling the privacy quantification factor with respect to a predefined finite scale to obtain at least one scaled privacy quantification factor, wherein the predefined scale comprises a finite set of values, and wherein each value from the finite set of values refers to quantification of privacy content associated with the sensor data; wherein the receiving, the identifying, the calculating, the determining the compensation value, the determining the privacy quantification factor and the scaling are performed by a processor.
地址 Kolkata IN