Abstract
Nowadays, social network are tremendously spreading their tentacles over the web community providing appropriate and well adapted tools for sharing images. A fundamental glitch to consider is their ability to provide suitable techniques to preserve individuals’ privacy. Indeed, there is an urgent need to guarantee privacy by making available to end-users, tools to enforce their privacy constraints. This cannot be done over images as simple as it has been designed so far for textual data. In fact, images, as all other multimedia objects are of complex structure due to the gap between their raw data and their actual semantic descriptions. Without these descriptions, protecting their content is a difficult matter which outlines the premise of our work. In this chapter, we present a novel security model for image content protection. In our model, we provide dynamic security rules based on first order logic to express constraints that can be applied to contextual information as well as low level features of images. We finally discuss a set of experiments and studies carried out to evaluate the proposed approach.
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Notes
- 1.
Works in photo editing, montage, and publishing.
- 2.
- 3.
When an image belongs to an album or a folder.
- 4.
DC is an XML/RDF-based syntax used to describe textual as well as audiovisual documents (see http://dublincore.org/).
- 5.
- 6.
The first match strategy is particularly used in firewalls where security rules are read sequentially. The first rule which matches the packet applies whether it is a positive or a negative rule.
- 7.
An online demonstration of the prototype is provided at http://www.upa.edu.lb/ImageProtector/.
- 8.
The user who logs into FaceBook.
- 9.
We invite the reader to consult [5] for more details regarding aggregation functions.
- 10.
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Bouna, B.A., Chbeir, R., Gabillon, A., Capolsini, P. (2013). A Flexible Image-Based Access Control Model for Social Networks. In: Chbeir, R., Al Bouna, B. (eds) Security and Privacy Preserving in Social Networks. Lecture Notes in Social Networks. Springer, Vienna. https://doi.org/10.1007/978-3-7091-0894-9_11
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