Abstract
Provenance information can greatly enhance transparency and accountability of shared services. In this paper, we introduce a trust estimation approach which can derive trust information based on the analysis of provenance data. This approach can utilize the value of provenance data, and enhance trust estimation in open dynamic environments.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Bai, Q., Su, X., Liu, Q., Terhorst, A., Zhang, M., Mu, Y.: Case-based trust evaluation from provenance information. In: 2011 IEEE 10th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), pp. 336–343. IEEE (2011)
Bunke, H., Kandel, A.: Mean and maximum common subgraph of two graphs. Pattern Recognition Letters 21(2), 163–168 (2000)
Cover, T.M., Thomas, J.A.: Elements of information theory. Wiley, New York (1991)
Freire, J., Koop, D., Santos, E., Silva, C.T.: Provenance for computational tasks: A survey. Computing in Science & Engineering 10(3), 11–21 (2008)
Raymond, J.W., Gardiner, E.J., Willett, P.: Rascal: Calculation of graph similarity using maximum common edge subgraphs. The Computer Journal 45(6), 631–644 (2002)
Renner, R., Maurer, U.: About the mutual (conditional) information. In: Designs, Codes, and Cryptography (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer International Publishing Switzerland
About this paper
Cite this paper
Jiang, J., Bai, Q. (2013). Provenance-Based Trust Estimation for Service Composition. In: Cranefield, S., Nayak, A. (eds) AI 2013: Advances in Artificial Intelligence. AI 2013. Lecture Notes in Computer Science(), vol 8272. Springer, Cham. https://doi.org/10.1007/978-3-319-03680-9_7
Download citation
DOI: https://doi.org/10.1007/978-3-319-03680-9_7
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03679-3
Online ISBN: 978-3-319-03680-9
eBook Packages: Computer ScienceComputer Science (R0)