Practical data-swapping: the first steps
ACM Transactions on Database Systems (TODS)
Semantical considerations on nonmonotonic logic
Artificial Intelligence
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in expert systems: theory and algorithms
Probabilistic reasoning in expert systems: theory and algorithms
Some computer science issues in ubiquitous computing
Communications of the ACM - Special issue on computer augmented environments: back to the real world
Logical foundations of multilevel databases
Data & Knowledge Engineering
Answering queries without revealing secrets
ACM Transactions on Database Systems (TODS)
Secure databases: protection against user influence
ACM Transactions on Database Systems (TODS)
The tracker: a threat to statistical database security
ACM Transactions on Database Systems (TODS)
Secure statistical databases with random sample queries
ACM Transactions on Database Systems (TODS)
A security machanism for statistical database
ACM Transactions on Database Systems (TODS)
PODS '00 Proceedings of the nineteenth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
For unknown secrecies refusal is better than lying
Data & Knowledge Engineering
The statistical security of a statistical database
ACM Transactions on Database Systems (TODS)
Lying versus refusal for known potential secrets
Data Engineering
Introduction to Bayesian Networks
Introduction to Bayesian Networks
Distributed mediation of ambiguous context in aware environments
Proceedings of the 15th annual ACM symposium on User interface software and technology
Understanding and Using Context
Personal and Ubiquitous Computing
Beyond Prototypes: Challenges in Deploying Ubiquitous Systems
IEEE Pervasive Computing
Computer
IEEE Transactions on Knowledge and Data Engineering
Learning Dynamic Bayesian Networks
Adaptive Processing of Sequences and Data Structures, International Summer School on Neural Networks, "E.R. Caianiello"-Tutorial Lectures
An XPath-based preference language for P3P
WWW '03 Proceedings of the 12th international conference on World Wide Web
Data Level Inference Detection in Database Systems
CSFW '98 Proceedings of the 11th IEEE workshop on Computer Security Foundations
A Policy Language for a Pervasive Computing Environment
POLICY '03 Proceedings of the 4th IEEE International Workshop on Policies for Distributed Systems and Networks
DMKD '03 Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery
Elimination of Inference Channels by Optimal Upgrading
SP '94 Proceedings of the 1994 IEEE Symposium on Security and Privacy
Dynamic bayesian networks: representation, inference and learning
Dynamic bayesian networks: representation, inference and learning
Controlled Query Evaluation for Known Policies by Combining Lying and Refusal
Annals of Mathematics and Artificial Intelligence
An ontology for context-aware pervasive computing environments
The Knowledge Engineering Review
ACAI: agent-based context-aware infrastructure for spontaneous applications
Journal of Network and Computer Applications
Enhancing Web Privacy Protection through Declarative Policies
POLICY '05 Proceedings of the Sixth IEEE International Workshop on Policies for Distributed Systems and Networks
Learning dynamic Bayesian network models via cross-validation
Pattern Recognition Letters
Dynamic Bayesian networks for audio-visual speech recognition
EURASIP Journal on Applied Signal Processing
Auditing and Inference Control in Statistical Databases
IEEE Transactions on Software Engineering
PET'02 Proceedings of the 2nd international conference on Privacy enhancing technologies
Learning the structure of dynamic probabilistic networks
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
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In pervasive (ubiquitous) environments, context-aware agents are used to obtain, understand, and share local contexts with each other so that the environments could be integrated seamlessly. Context sharing among agents should be made privacy-conscious. Privacy preferences are generally specified to regulate the exchange of the contexts, where who have rights under what conditions to have what contexts are designated. However, released contexts could be used to infer those unreleased. In particular, different contexts released could endanger the security of different contexts unreleased. The existing privacy preference specification platforms do not have a mechanism to prevent inference. To date, there have been very few inference control mechanisms specifically tailored to context management in pervasive (ubiquitous) environments. A Bayesian network based mechanism has been proposed to prevent privacy-sensitive contexts from being inferred from those to be released. Nevertheless, contexts in pervasive (ubiquitous) environments could change from time to time and are history dependent. In this paper, we propose to use dynamic Bayesian networks to track the most updated beliefs of the adversaries about the dynamic domains in order to evaluate which contexts in the domains could be released safely in various situations.