APRIGUARD: The Automatic and Efficient Method for Privacy Violations Detection in OSNs (Online Social Networks)

The users from the social networks like Facebook, Twitter etc. expecting that social networks can able to preserve their privacy. To address this, recently PRIGUARD framework introduced in which meta model and description logic used for describing the social network commitments and domain in order to specify the privacy needs of end users. This approach is able to detect the violations of privacy in both sound and complete. However the still there is scope of improvement in PRIGUARD method and limitations. One such limitation of PRIGUARD does not supporting the proactive violations of its commitments whenever it’s required to provide the context dependent privacy management. In this paper we are presenting the Automated PRIGUARD (APRIGUARD) which is based on existing PRIGUARD method. APRIGUARD method not only supports the functionality of existing PRIGUARD but also enabling the approach of proactively violates its commitments. This achieves more efficiency and security to end users privacy. The proposed approach will be used before taking a particular action for checking whether it will lead violation and hence it will results in its prevention before it happens. Conversely, it will be used to do sporadic checks on the system to see if any violations have occurred.