Holistic Collaborative Privacy Framework for Users' Privacy in Social Recommender Service

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Provided by: Sungkyul University
Topic: Security
Format: PDF
Now-a-days, it is crucial to preserve the privacy of end-users while utilizing a third-party recommender service within content distribution networks so as to maintain their satisfaction and trust in the offered services. The current business model for those recommender services is centered around the availability of users' personal data at their side whereas consumers have to trust that the recommender service providers will not use their data in a malicious way. With the increasing number of cases for privacy breaches of personal information, different countries and corporations have issued privacy laws and regulations to define the best practices for the protection of personal information.
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