Sharing of Images in Content Sharing Sites Based on User Profile Inferences
نویسندگان
چکیده
Usage of social media are increased considerably in today world it enables the user to share images with one another. Sharing the images may leads to performance violation. Web mining is use of data mining technique to discover and extract the information from the web. Web content mining is the extraction and integration of data, information and knowledge from web page. In the web, one can mine the images and find association between various images. Privacy techniques needed to adapt in order to improve the satisfaction level of user, by means of automated privacy policy generation. Adaptive Privacy Policy Prediction system helps the user to compose customized privacy settings. A Two level framework is proposed with Speeded Up Robust Feature for identifying the feature points of an images, by demonstrating in MATLAB tool. The region of selected points is an effective method for identifying the extracted features in the images based on the image feature extraction.
منابع مشابه
An Incentive-Aware Lightweight Secure Data Sharing Scheme for D2D Communication in 5G Cellular Networks
Due to the explosion of smart devices, data traffic over cellular networks has seen an exponential rise in recent years. This increase in mobile data traffic has caused an immediate need for offloading traffic from operators. Device-to-Device(D2D) communication is a promising solution to boost the capacity of cellular networks and alleviate the heavy burden on backhaul links. However, dir...
متن کاملQualitative Study of Students' Information Sharing Behavior in Social Network Sites
Aim: The main purpose was to investigate the students’ information sharing behavior in social network sites with a qualitative approach. Methodology: An applied research with qualitative approach - A Thematic Analysis method was used. Population consisted of all the students at the Universities in South Khorasan Province affiliated with the Ministry of Science, Research and Technology who had ...
متن کاملKnowledge Sharing Behavior Model of Iranian Professionals in experts’ social networks: exploring indexes
Background and Aim: Due to the extensive use of knowledge intelligence, the future of countries depend on the application of specialized knowledge-based social networks. Thus, it is noteworthy to highlight the important role of the professionals. The key indicators of a model for knowledge sharing of Iranian experts, in experts’ social networks has been identified. Methods: For this purpose, ex...
متن کاملAn A3P approach towards Image Privacy policy recommendation on content sharing sites
Popularity of the social media like Facebook, Flickr, LinkedIn and others has increasing everyday due its various features provided. Some of the features are to collaborate with friends, good and friendly user interface to share data and multimedia content at ease. Data uploaded to Social network by the user are at high risk of vulnerability. User uploaded data on the social media does play vit...
متن کاملEnabling Interoperable and Selective Data Sharing among Social Networking Sites
With the widespread use of social networking (SN) sites and even introduction of a social component in non-social oriented services, there is a growing concern over user privacy in general, how to handle and share user profiles across SN sites in particular. Although there have been several proprietary or open source-based approaches to unifying the creation of third party applications, the ava...
متن کامل