Secure fine-grained friend-making scheme based on hierarchical management in mobile social networks

Publication Type:
Journal Article
Information Sciences, 2021, 554, pp. 15-32
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With the rapid development of mobile social networks (MSNs) and smart mobile devices, mobile users can easily make new social interactions with others via their smartphones. Unfortunately, users enjoy these conveniences at the cost of revealing their personal data. The inevitable release of information conflicts with increasing privacy concerns. To address this problem, we propose a hierarchical management scheme for friend matching using attributes, which aims to facilitate secure friend discovery in MSNs. The scheme involves the establishment of several attribute centers, which perform fine-grained management based on various user attributes. The user attributes are used to generate attribute sub-keys. After meeting the conditions set by the friend-making initiator, the friend-making requester combines the sub-keys into a complete decryption key and decrypts the user data file in the friend-making center. By introducing hierarchical and sorting management of attribute sub-keys, we prevent the crypto key disclosure and single point failure, which usually happens because single-authority management centers are vulnerable to attack. The security and performance of this system were analyzed and evaluated via simulations, and the results indicate that the proposed scheme is CPA-safe.
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