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Attaching Privacy Policies for User-Uploaded Images on Content Sharing Sites
| Content Provider | Semantic Scholar |
|---|---|
| Author | Poojitha, S. Siva, N. Chaitanya |
| Copyright Year | 2017 |
| Abstract | 38 Abstract— With the increasing quantity of images customers share via social websites, maintaining privacy has turn out to be a important concern, as established through a up to date wave of publicized incidents where users inadvertently shar ed private expertise. In light of these incidents, the need of instruments to help customers manage access to their shared conten t is apparent. Towards addressing this need, we endorse a n Adaptive Privacy Policy Prediction (A3P) procedure to support users compose privacy settings for their snap shots . We examine the role of social context, photo content material, and metadata as possible indications of users’ privacy preferenc es. We endorse a two-stage framework which in keeping with the use r’s on hand historical past on the website, determines the nice to be had privacy coverage for the consumer’s portraits being uploaded. Our resolution relies on an photograph classificati on framework for photo categories which could also be related to identical policies, and on a coverage prediction algorithm to routinely generate a coverage for each newly uploaded image, also according to users’ social facets. Over time, the g enerated policies will follow the evolution of customers’ privacy attitude. We provide the outcome of our vast analysis over 5, 000 policies, which reveal the effectiveness of our procedure, wi th prediction accuracies over ninety percent. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.ijetcse.com/wp-content/plugins/ijetcse/file/upload/docx/170Attaching-Privacy-Policies-for-User-Uploaded-Images-on-Content-Sharing-Sites-pdf.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
