Title :
Entropy Based Personal Privacy Measurement in Ubiquitous Computing
Author :
Tinghuai Ma ; Jie Cao ; Otgonbayar, Ankhbayar
Author_Institution :
Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China
Abstract :
This paper designs a scheme, which can quantize the personal privacy based on profile and context, using entropy. It aims to configure the person´s privacy in numerical form that can be dynamically adjusted instead of using the traditional simple rule engine. In addition, we design the scenario to design a adjust algorithm to modify the privacy based on numerical values.
Keywords :
data privacy; entropy; numerical analysis; ubiquitous computing; adjust algorithm; entropy based personal privacy measurement; numerical values; simple rule engine; ubiquitous computing; Context; Entropy; Law; Privacy; Ubiquitous computing; Uncertainty; disclosure; personal privacy; quantizing; scheme; ubiquitous computing;
Conference_Titel :
Ubi-Media Computing and Workshops (UMEDIA), 2014 7th International Conference on
Conference_Location :
Ulaanbaatar
Print_ISBN :
978-1-4799-4267-1
DOI :
10.1109/U-MEDIA.2014.36
