Temporal Context Lie Detection and Generation

摘要: In pervasive (ubiquitous) environments, context-aware agents are used to obtain, understand, and share local contexts with each other so that all resources in the environments could be integrated seamlessly. Context exchanging should made privacy-conscious, which is generally controlled by users' privacy preferences. Besides who has rights get what true information about him, a user's preference also designate given obfuscated information. By obfuscation, people present their private coarser granularity, or simply falsified manner, depending on specific situations. Nevertheless, obfuscation cannot done randomly because reasoning receiver know been obfuscated. An context can not only inferred from its dependencies existing contexts, but derived vanished ones. this paper, we dynamic Bayesian network (DBN)-based method reason where impacts of historical properly evaluated. On one hand, it detect obfuscations, may further find information; help reasonably obfuscate