Further Investigations on Methods Developed for Preserving Privacy of Computational Grids

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Provided by: The International Journal of Innovative Research in Computer and Communication Engineering
Topic: Security
Format: PDF
Need for publishing sensitive data to public has grown extravagantly during recent years. Though publishing demands its need there is a restriction that published social network data should not disclose private information of individuals. Hence protecting privacy of individuals and ensuring utility of social network data as well becomes a challenging and interesting research topic. Considering a graphical model where the vertex indicates a sensitive label algorithms could be developed to publish the non-tabular data without compromising privacy of individuals.
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