Tradeoff between privacy protection and network resource in community associated network virtualization

These days, people have shifted from global services to social services. However, it is common that privacy-sensitive data is exchanged in such social services and the conventional privacy control function is built just on the application level. Therefore, to consider privacy control in the network level, this paper proposes a framework for community associated networks enabled by the network virtualization technique. A community associated network is defined as a logical information space in which people who are socially connected with each other exchange and share their data including privacy sensitive data. In the proposed framework, community networks are created for each community and physical network resources are assigned to each community network. However, as the number of communities increases, the more physical network resources are needed. Therefore, this paper discusses the tradeoff between the number of community and network resource and shows numerical results obtained from the model.