The Research Of Location Privacy Mechanism For Mobile Social Software System

With the development and combination of Web2.0 and Mobile2.0, a great deal of social software and the mobile platform weave together effectively, and a new outcome called Mobile Social Software System is produced. In the system, users become the active content creators from the original passive recipients of information. They not only can produce or share information with mobile devices anytime, anywhere, such as pictures in the traveling, impressions at all times and in all places; but also enable social interactions in the collective share and cooperation to develop their personal relations together, such as finding out when people of interest are nearby. Users take advantage of the nearly constant physical proximity of devices to their owners to enable a wide range of new social interactions.However, unfortunately, while users enjoy various services provided by Mobile Social Software System, services raise important privacy concerns to them. Before obtaining these services, users have to send periodic location updates to the service provider, so as to coordinate the interaction among users. And this location information for all users is often concentrated on an administrative domain. A large amount of original location information about users can be easily collected by the vicious attacker with eavesdropping on location information transmission channel etc, results in the user's location information related to personal privacy can be obtained by calculated reasoning, such as the user lifestyle is learned by the obtained location information. Thus how to protect the user's location privacy information for Mobile Social Software System is of great importance.In this paper, the typical characteristic of Mobile Social Software System is analyzed and researched wholly based on the theory and the analytical approach relevant to the Complex System, the model of Mobile Social Software System is structured; and the issue of location privacy for Mobile Social Software System is went into on this model.The main work of this paper is as follows:First, the definition of Mobile Social Software System is given. Applying the theory and analytical approach relevant to the Complex System, the research is conducted for some typical Mobile Social Software System in respects of the dynamic and holism, the typical characteristic that they all have in common is summarized, and the definition of Mobile Social Software System which consistent with the context of this study is given. Second, a model of Mobile Social Software System based on the complex theory is structured. On the basis of understanding the nature of Mobile Social Software System, the modeling method of local-world evolving network in the complex theory is improved, and the model of Mobile Social Software System is built.Third, a Peer-to-Peer location privacy algorithm that suitable for Mobile Social Software System is proposed. Based on the location k-anonymity model and decentralized scheme, a Peer-to-Peer location privacy algorithm for Mobile Social Software is proposed. In the algorithm, the concept of degree in the Complex Networks is presented to decide the mode of finding users (single-hop or multi-hop). Meanwhile, a centre location adjustment algorithm is introduced to avoid the possible privacy leakage.Finally, simulation and experiment is given. Based on the wireless mobile model in the NS-2, Mobile Social Network is simulated, and run in the computer. The output results are analyzed to test the scalability and effectiveness of these algorithms.