Abstract
In this paper we discuss the use of views to address the problem of providing useful answers to provenance queries while ensuring that privacy concerns are met. In particular, we propose a hierarchical workflow model, based on context-free graph grammars, in which fine-grained dependencies between the inputs and outputs of a module are explicitly specified. Using this model, we examine how privacy concerns surrounding data, module function, and workflow structure can be addressed.
This is a preview of subscription content, log in via an institution to check access.
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
Backstrom, L., Dwork, C., Kleinberg, J.M.: Wherefore art thou r3579x?: anonymized social networks, hidden patterns, and structural steganography. In: WWW, pp. 181–190 (2007)
Bao, Z., Davidson, S., Milo, T.: A Fine-Grained Workflow Model with Provenance-Aware Security Views. In: Proceedings of TaPP (2011)
Beeri, C., Eyal, A., Kamenkovich, S., Milo, T.: Querying business processes. In: Proceedings of the 32nd International Conference on Very Large Data Bases, pp. 343–354 (2006)
Biton, O., Boulakia, S.C., Davidson, S.B., Hara, C.S.: Querying and Managing Provenance through User Views in Scientific Workflows. In: ICDE, pp. 1072–1081 (2008)
Bose, R., Foster, I., Moreau, L.: Report on the International Provenance and Annotation Workshop. SIGMOD Rec. 35(3) (2006)
Bose, R., Frew, J.: Lineage retrieval for scientific data processing: a survey. ACM Comp. Surveys 37(1), 1–28 (2005)
Bowers, S., Ludäscher, B.: Actor-oriented design of scientific workflows. In: Int. Conf. on Concept. Modeling, pp. 369–384 (2005)
Campan, A., Truta, T.M.: A clustering approach for data and structural anonymity in social networks. In: PinKDD (2008)
Davidson, S.B., Boulakia, S.C., Eyal, A., Ludäscher, B., McPhillips, T.M., Bowers, S., Anand, M.K., Freire, J.: Provenance in scientific workflow systems. IEEE Data Eng. Bull. 30(4), 44–50 (2007)
Davidson, S.B., Khanna, S., Milo, T., Panigrahi, D., Roy, S.: Provenance views for module privacy. In: Proceedings of the 30th ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, pp. 175–186 (2011)
Davidson, S.B., Khanna, S., Panigrahi, D., Roy, S.: Preserving module privacy in workflow provenance (2010) (manuscript), http://arxiv.org/abs/1005.5543
Dwork, C.: Differential Privacy. In: Bugliesi, M., Preneel, B., Sassone, V., Wegener, I. (eds.) ICALP 2006. LNCS, vol. 4052, pp. 1–12. Springer, Heidelberg (2006)
Freire, J., Silva, C.T., Callahan, S.P., Santos, E., Scheidegger, C.E., Vo, H.T.: Managing Rapidly-Evolving Scientific Workflows. In: Moreau, L., Foster, I. (eds.) IPAW 2006. LNCS, vol. 4145, pp. 10–18. Springer, Heidelberg (2006)
Korolova, A., Motwani, R., Nabar, S.U., Xu, Y.: Link privacy in social networks. In: CIKM, pp. 289–298. ACM, New York (2008)
Machanavajjhala, A., Kifer, D., Gehrke, J., Venkitasubramaniam, M.: L-diversity: Privacy beyond k-anonymity. ACM Trans. Knowl. Discov. Data 1(1), 3 (2007)
Machanavajjhala, A., Korolova, A., Sarma, A.D.: Personalized social recommendations: accurate or private. Proc. VLDB Endow. 4, 440–450 (2011)
Moreau, L., Freire, J., Futrelle, J., McGrath, R.E., Myers, J., Paulson, P.: The Open Provenance Model: An overview. In: Freire, J., Koop, D., Moreau, L. (eds.) IPAW 2008. LNCS, vol. 5272, pp. 323–326. Springer, Heidelberg (2008)
Moreau, L., Ludäscher, B. (eds.): Concurrency and Computation: Practice and Experience – Special Issue on the First Provenance Challenge. Wiley (2007), http://twiki.ipaw.info/bin/view/Challenge/
Oinn, T., Addis, M., Ferris, J., Marvin, D., Senger, M., Greenwood, R., Carver, K., Pocock, M.G., Wipat, A., Li, P.: Taverna: a tool for the composition and enactment of bioinformatics workflows. Bioinformatics 20(1), 3045–3054 (2003)
Rastogi, V., Hay, M., Miklau, G., Suciu, D.: Relationship privacy: output perturbation for queries with joins. In: PODS, pp. 107–116 (2009)
Samarati, P., De Capitani di Vimercati, S., Paraboschi, S.: Access control: principles and solutions. Software—Practice and Experience 33(5), 397–421 (2003)
Shawn Bowers, B.L., McPhillips, T.M.: Provenance in collection-oriented scientific workflows. Concurrency and Computation: Practice and Experience 20(5), 519–529 (2008)
Simmhan, Y., Plale, B., Gannon, D.: A survey of data provenance in e-science. SIGMOD Rec. 34(3), 31–36 (2005)
Sroka, J., Hidders, J., Missier, P., Goble, C.A.: A formal semantics for the Taverna 2 workflow model. J. Comput. Syst. Sci. 76(6), 490–508 (2010)
Stoyanovich, J., Pe’er, I.: MutaGeneSys: estimating individual disease susceptibility based on genome-wide SNP array data. Bioinformatics 24(3), 440–442 (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Davidson, S., Bao, Z., Roy, S. (2011). Hiding Data and Structure in Workflow Provenance. In: Kikuchi, S., Madaan, A., Sachdeva, S., Bhalla, S. (eds) Databases in Networked Information Systems. DNIS 2011. Lecture Notes in Computer Science, vol 7108. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25731-5_4
Download citation
DOI: https://doi.org/10.1007/978-3-642-25731-5_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25730-8
Online ISBN: 978-3-642-25731-5
eBook Packages: Computer ScienceComputer Science (R0)