A Model to Protect Sharing Sensitive Information in Smart Watches

Autor: Kambiz Ghazinour, Abhilash BhoomReddy, Emil Shirima, Vijayasimha Reddy Parne
Rok vydání: 2017
Předmět:
Zdroj: EUSPN/ICTH
ISSN: 1877-0509
DOI: 10.1016/j.procs.2017.08.322
Popis: Wearable technologies offer us different ways of improving the quality of life. Currently, they are mostly used to monitor one’s physical routines which includes step counts, heart rate, calories burned, and so on. Different applications collect these sensitive information with no control given to the user on what happens to the data after collection. The current binary standard leaves the user no options on selecting their privacy preferences on their data and if they do not agree to the terms, they cannot use the device. With Apple Health for example, the user can only either allow or deny access to their data. To address these problems, we are proposing and implementing a model which allows the user to select their privacy preferences for the data being collected from them by the apps installed on their wearable devices. Tizen’s operating system is used to develop our model with its simulator used for result verification purposes. With our model, we provide users with the flexibility of expressing their privacy preferences.
Databáze: OpenAIRE