Universal one-way hash functions and their cryptographic applications
STOC '89 Proceedings of the twenty-first annual ACM symposium on Theory of computing
The State of Elliptic Curve Cryptography
Designs, Codes and Cryptography - Special issue on towards a quarter-century of public key cryptography
Understanding and Using Context
Personal and Ubiquitous Computing
Lineage tracing for general data warehouse transformations
The VLDB Journal — The International Journal on Very Large Data Bases
Semantic Web in the Context Broker Architecture
PERCOM '04 Proceedings of the Second IEEE International Conference on Pervasive Computing and Communications (PerCom'04)
MiddleWhere: a middleware for location awareness in ubiquitous computing applications
Proceedings of the 5th ACM/IFIP/USENIX international conference on Middleware
A survey of data provenance in e-science
ACM SIGMOD Record
A data mining approach for location prediction in mobile environments
Data & Knowledge Engineering
A Tableau Algorithm for Description Logics with Concrete Domains and General TBoxes
Journal of Automated Reasoning
Databases with uncertainty and lineage
The VLDB Journal — The International Journal on Very Large Data Bases
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Efficient lineage tracking for scientific workflows
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Accurate activity recognition in a home setting
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
Efficient profile aggregation and policy evaluation in a middleware for adaptive mobile applications
Pervasive and Mobile Computing
Web Semantics: Science, Services and Agents on the World Wide Web
Electronic Notes in Theoretical Computer Science (ENTCS)
The case of the fake Picasso: preventing history forgery with secure provenance
FAST '09 Proccedings of the 7th conference on File and storage technologies
Hybrid reasoning in the CARE middleware for context awareness
International Journal of Web Engineering and Technology
Exploiting Lineage for Confidence Computation in Uncertain and Probabilistic Databases
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Situation Inference for Mobile Users: A Rule Based Approach
MDM '07 Proceedings of the 2007 International Conference on Mobile Data Management
Privacy in Georeferenced Context-Aware Services: A Survey
Privacy in Location-Based Applications
Do You Know Where Your Data's Been? --- Tamper-Evident Database Provenance
SDM '09 Proceedings of the 6th VLDB Workshop on Secure Data Management
A hybrid discriminative/generative approach for modeling human activities
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
A survey of context modelling and reasoning techniques
Pervasive and Mobile Computing
Sensor Information Decay Process Modeling
SENSORCOMM '10 Proceedings of the 2010 Fourth International Conference on Sensor Technologies and Applications
The Foundations for Provenance on the Web
Foundations and Trends in Web Science
The Open Provenance Model core specification (v1.1)
Future Generation Computer Systems
Internet of things: a review of literature and products
Proceedings of the 25th Australian Computer-Human Interaction Conference: Augmentation, Application, Innovation, Collaboration
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Ambient intelligence systems would benefit from the possibility of assessing quality and reliability of context information based on its derivation history, named provenance. While various provenance frameworks have been proposed in data management, context data have some peculiar features that claim for a specific support. However, no provenance model specifically targeted to context data has been proposed till the time of writing. In this paper, we report an initial investigation of this challenging research issue by proposing a provenance model for data acquired and processed in ambient intelligence systems. Our model supports representation of complex derivation processes, integrity verification, and a shared ontology to facilitate interoperability. The model also deals with uncertainty and takes into account temporal aspects related to the quality of data. We experimentally show the impact of the provenance model in terms of increased dependability of a sensor-based smart-home infrastructure. We also conducted experiments to evaluate the communication and computational overhead introduced to support our provenance model, using sensors and mobile devices currently available on the market.