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Personalized Privacy Assistant to Capture

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dc.contributor.author Rathnasekara
dc.contributor.author GDST
dc.contributor.author Kumara
dc.contributor.author PPNV
dc.date.accessioned 2019-11-20T16:56:54Z
dc.date.available 2019-11-20T16:56:54Z
dc.date.issued 2019
dc.identifier.uri http://ir.kdu.ac.lk/handle/345/2252
dc.description.abstract With the rapid expansion and evolvement of the field of computing number of connected devices and number of people getting access to internet are rising in an exorbitant rate day by day. All these IOT devices and people are generating huge amounts of data. Mobile phones, big data, internet of things (IOT) are making it totally impractical for people to be aware of the means in which their data can potentially be collected, processed and used. Because of this overwhelming number of privacy related threats and issues are rising day by day. Users are unable to adequately manage their privacy settings. The aim of this study is to investigate the different privacy related issues, how those issues arise and a solution to alleviate these rising issues. People are in need of an intuitive, effective and easy to manage solution to alleviate these issues with their own minimum intervention. According to literatures, most concerning privacy issues are related with mobile phones, internet of things devices and online tracking. Finally, the study conclude that Personalized Privacy Assistant is the optimum solution for all these concerns. This paper had summarized the most important core functionalities that the privacy assistant must include for the android platform in order to cater the ever-expanding number of privacy related issues and concerns.
dc.language.iso en en_US
dc.subject Privacy Preferences en_US
dc.subject Privacy Concerns en_US
dc.subject Android Platform en_US
dc.subject Privacy Assistant en_US
dc.title Personalized Privacy Assistant to Capture en_US
dc.title Communicate and Enforce Privacy Policies and Preferences en_US
dc.type Article Full Text en_US
dc.identifier.journal KDUIRC-2019 en_US
dc.identifier.pgnos 266-271 en_US


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