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Privacy issues in group matching problem have become one of the most important things in Mobile Social Networks (MSNs) currently. Mobile users may feel uncomfortable when releasing personal information to some irrelevant people or groups. In this paper, we propose a practical group matching scheme without employing any Trusted Third Party (TTP) for privacy-aware users in MSNs. We first propose a fuzzy...
With Proximity-based Mobile Social Networks (PMSNs), mobile users can discover and make new social interactions easily with physical-proximate others through WiFi/Bluetooth interfaces embedded in the smartphones. Unfortunately, users enjoy these conveniences at the cost of revealing their personal data. Furthermore, an important factor called social strength, which impacts the discovering result a...
Making new social interactions with other users in vicinity is a crucial service in Proximity-based Mobile Social Networks (PMSNs), where a user can find a best matching friend directly through the Bluetooth/WiFi interfaces built in her mobile device. In existing work for such services, users have to publish their interests to do the matching. However, it conflicts with users' growing privacy concerns...
Radio frequency identification technology has been increasingly used in many applications. However, there are many threats and security risks in the RFID systems since an insecure wireless channel exists between the reader and the tags. The security of RFID protocols must be designed and proved with careful cryptanalysis. In this paper, we analyze some RFID authentication protocols proposed recently...
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