NDLI: Efficient Customized Privacy Preserving Friend Discovery in Mobile Social Networks

Content Provider	IEEE Xplore Digital Library
Author	Hongjuan Li Xiuzhen Cheng Keqiu Li Zhi Tian
Copyright Year	2015
Description	Author affiliation: Dept. of Comput. Sci., George Washington Univ., Washington, DC, USA (Hongjuan Li; Xiuzhen Cheng) \|\| Sch. of Comput. Sci. & Technol., Dalian Univ. of Technol., Dalian, China (Keqiu Li) \|\| Dept. of Electr. & Comput. Eng., George Mason Univ., Fairfax, VA, USA (Zhi Tian)
Abstract	Mobile social networks have been increasingly popular with the explosive growth of mobile devices. Mobile users are allowed to interact with potential friends within a certain distance. Motivated by this feature, many exciting applications have been developed, yet the challenge of privacy protection is thus aroused. In this paper, we propose an efficient customized privacy preserving friend discovery mechanism, which not only protects the privacy of users' profile, but also establishes a verifiable secure communication channel between matched users. Besides, the initiator has the freedom to set a customized request profile by choosing the interested attributes and giving each attribute a specific value. Moreover, the request profile's privacy protection level is customized by the initiator according to his/her own privacy requirements. We also consider the collusion attacks among unmatched users. To the best of our knowledge, this is the first work to address such a security threat. Our protocol guarantees that only exactly matched users are able to communicate with the initiator securely, while little information can be obtained by other participants. To increase the matching efficiency, our design adopts the Bloom filter to efficiently exclude most unmatched users. As a result, our design effectively protects the profile privacy and efficiently decreases the computational overhead. Security analysis and performance evaluation are conducted to justify the superiority of our protocol.
Starting Page	225
Ending Page	234
File Size	277858
Page Count	10
File Format	PDF
ISBN	9781467372145
ISSN	10636927
DOI	10.1109/ICDCS.2015.31
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-29
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Privacy Protocols Receivers Social network services Entropy Cryptography Mobile communication secure friend discovery Mobile social networks privacy preservation Attribute Based Encryption
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Hardware and Architecture Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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