Abstract
User generated content (UGC) is shared in an open space like social media where users can upload and consume contents freely. Since the access to the contents is not restricted, the contents could be delivered to unwanted users or misused sometimes. Although it is contrary to the philosophy of UGC, the contents can be encrypted by a key and the key can be shared among users to protect the contents of a UGC creator. However, it is quite challenging to distribute the key to anonymous users since there is no relationship or acquaintanceship between the content consumers and creators. To solve this problem, user profile or content preference can be utilized. By allowing accessibility to only users who have similar personal information, the contents creator or distributor can select the target group of consumers. In this chapter, we present a method for sharing contents securely based on the personal information of users that includes user profiles and contents preference. With the proposed method, virtual secure space is created for contents delivery. The virtual secure space allows the UGC creator to deliver contents to users who have similar personal information and they can consume the contents without any leakage of personal information during similarity measurement. To realize the virtual secure space, the personal information is applied to fuzzy vault scheme, which enables the generation of secure biometric template.
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Sohn, H., Ro, Y.M., Plataniotis, K.N. (2010). Privacy Enhancing Solutions for Personal Information Based Multimedia Content Sharing. In: Sencar, H.T., Velastin, S., Nikolaidis, N., Lian, S. (eds) Intelligent Multimedia Analysis for Security Applications. Studies in Computational Intelligence, vol 282. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11756-5_8
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DOI: https://doi.org/10.1007/978-3-642-11756-5_8
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