期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2014
卷号：14
期号：1
页码：1-6
DOI：10.14445/22312803/IJCTT-V14P101
出版社：Seventh Sense Research Group
摘要：To identify confidentiality risks in grid data sets. It provides an algorithm for the risks. A grid consists of entities connected by links representing relations such as friendship, communication, or shared activity. To maintain confidentiality when publishing grid data, it is constant challenging one, because an individual’s grid context can be used to identify them even if other identifying information is removed. In this one, they quantify the confidentiality risks associated with three classes of attacks on the confidentiality of individuals in grids, based on the knowledge used by the opponent and it shows the risks of these attacks vary greatly based on grid system and size. The two groups of reliable associations participants can reliable a federalized server to control their locale information and belief between handlers that depends upon past social associations .This is not secure or general one for many mobile social grid the centralized servers cannot always be depend upon to conserve data confidentiality, the users may want to use mobile social services to establish new relationships. To identify these shortcomings, this paper describes(Robust RSMILE) RSMILE, a confidentialitypreserving “removedconnections” service in which the service provider is semi trusted and users are not assumed to have re established social relationships with each other. A highlevel, RSMILE uses shortestrange wireless communications and standard cryptographic primitives to for the performance of users in existing removedconnections services.
