Abstract— Online social networks allows the users to share their data with their friends. With the advent of mobile computing, traditional social networks have gradually adapted to a fresh paradigms called mobile online social networks. The Mobile online social networks (mOSNs) had become more popular, and compared with traditional OSNs, mOSNs provide the location-based services, which raise significant privacy concerns. Location sharing is a fundamental component of mOSN, but users may be hesitant to share their location and extract sensitive information due to the privacy concern. The mOSNs collect a large amount of location information over time, and the users’ location privacy is compromised if their location information is used by other third party adversaries controlling the mOSNs. While the location-based features make mOSNs popular, they also raise significant privacy concerns. The threat is even more serious when it comes to mOSNs, because user’s locations are being correlated with their profiles. Here, the system achieves social network privacy and location privacy. The system cannot be linked to the same user. The identity of each user in the query set will be replaced with a pseudo identity before sending the query to the location servers. It improves the privacy of users in mobile online social networks. The proposed system provides a face recognition for the privacy-preserving of the users. The given image will be encrypted to a key format and this key will uniquely identify the user. The system uses private photos in a privacy-preserving manner for each user.
Keywords— Facial recognition, location based services, location privacy, location sharing, mobile Online Social Networks.
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