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For the sake of privacy in range search, a new privacy-preserving range search protocol is proposed using cryptology technology. First, a privacy-preserving vector dominance protocol is suggested. Then, on base of the protocol, our scheme is presented in semi-honest model. Security and complexity are analyzed in the end. Different from previous protocols, the servers are not allowed to get anything...
Proximity-based mobile social networks (PMSNs) are a novel type of social networks, where mobile users can choose potential friends in vicinity by comparing the similarity degree between their private attributes and make new connections through the WiFi/Bluetooth interfaces on their mobile devices. Since users' personal attributes usually contain some sensitive information, users may have increasing...
Proximity-based mobile social networks (PMSNs) are becoming increasingly popular in recent years with the explosive growth of mobile devices, where a user can find a best matching friend in vicinity through profile matching. However, the matching process calls for the publication of users' personal information, which conflicts with users' growing privacy concerns about revealing their profiles to...
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...
Nowadays the Internet of Things is a new concept that attracts more and more attention of researchers. A large amount of smart objects with various communication interfaces will access the Internet of Things. Unique addressing schemes and unified communication mechanism are two basic issues. In this paper, we introduce our solutions. We designed a data platform which can work as the middleware between...
Privacy is an important issue in data mining and knowledge discovery. In this paper, we use the randomized response technology to conduct association rule mining. We propose a privacy preserving association rule mining algorithm which is called DDIL based on data disturbance and inquiry limitation. Applying DDIL on the data set, the original data can be disturbed and hidden and the degree of privacy-preserving...
With the large influx of the data mining technology and mining tools, the confidentiality requirements of the personal privacy are becoming more and more urgent. Therefore, how to ensure personal privacy and get the correct mining results becomes a severe issue to be resolved. In this paper, we propose a kind of random response method of geometric transformation- the combination of the random response...
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