Xiangdong. AnDawn. JutlaNick. CerconeCharnyote PluempitiwiriyawejHai. Wangชาญยศ ปลื้มปิติวิริยะเวชMahidol University. Faculty of Information and Communication Technology2012-06-272018-01-262012-06-272018-01-262009-08-062009International Journal of Information Security. Vol. 8, No.6 (2009), 423-431https://repository.li.mahidol.ac.th/handle/20.500.14594/3397Context management is the key enabler for emerging context-aware applications, and it includes context acquisition, understanding and exchanging. Context exchanging should be made privacy-conscious. We can specify privacy preferences to limit the disclosure of sensitive contexts, but the sensitive contexts could still be derived from those insensitive. To date, there have been very few inference control mechanisms for context management, especially when the environments are uncertain. In this paper, we present an inference control method for private context protection in uncertain environments.engMahidol UniversityInference controlPrivacy protectionUncertain reasoningContext managementBayesian networksContext-awareUncertain inference control in privacy protectionArticleSpringerDOI 10.1007/s10207-009-0088-z