• xmlui.mirage2.page-structure.header.title
    • français
    • English
  • Help
  • Login
  • Language 
    • Français
    • English
View Item 
  •   BIRD Home
  • LAMSADE (UMR CNRS 7243)
  • LAMSADE : Publications
  • View Item
  •   BIRD Home
  • LAMSADE (UMR CNRS 7243)
  • LAMSADE : Publications
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Browse

BIRDResearch centres & CollectionsBy Issue DateAuthorsTitlesTypeThis CollectionBy Issue DateAuthorsTitlesType

My Account

LoginRegister

Statistics

Most Popular ItemsStatistics by CountryMost Popular Authors
Thumbnail

Lineage-Preserving Anonymization of the Provenance of Collection-Based Workflows

Belhajjame, Khalid (2020), Lineage-Preserving Anonymization of the Provenance of Collection-Based Workflows, in Bonifati, Angela; Zhou, Yongluan; Salles, Marcos Antonio Vaz, Proceedings of the 23rd International Conference on Extending Database Technology, EDBT, OpenProceedings.org : Konstanz, p. 229-240. 10.5441/002/edbt.2020.21

View/Open
paper_113.pdf (919.2Kb)
Type
Communication / Conférence
Date
2020
Conference title
23rd International Conference on Extending Database Technology, EDBT, 2020
Conference date
2020-03
Conference city
Copenhagen
Conference country
Denmark
Book title
Proceedings of the 23rd International Conference on Extending Database Technology, EDBT
Book author
Bonifati, Angela; Zhou, Yongluan; Salles, Marcos Antonio Vaz
Publisher
OpenProceedings.org
Published in
Konstanz
ISBN
978-3-89318-083-7
Pages
229-240
Publication identifier
10.5441/002/edbt.2020.21
Metadata
Show full item record
Author(s)
Belhajjame, Khalid
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Abstract (EN)
We examine in this paper the problem of anonymizing the provenance of collection-oriented workflows, in which the constituent modules use and generate sets of data records. Despite their popularity, this kind of workflows has been overlooked in the literature w.r.t privacy. We, therefore, set out in this paper to examine the following questions: How the provenance of a collection-basedmodule can be anonymized? Can lineage information be preserved? Beyond a single module, how can the provenance of a whole workflow be anonymized? As well as addressing the above questions, we report on evaluation exercises that assess the effectiveness and efficiency of our solution. In particular, we tease apart the parameters that impact the quality of the obtained anonymized provenance information.
Subjects / Keywords
workflows

Related items

Showing items related by title and author.

  • Thumbnail
    On the Anonymization of Workflow Provenance without Compromising the Transparency of Lineage 
    Belhajjame, Khalid (2022) Article accepté pour publication ou publié
  • Thumbnail
    Static analysis of Taverna workflows to predict provenance patterns 
    Alper, Pinar; Belhajjame, Khalid; Goble, Carole (2017) Article accepté pour publication ou publié
  • Thumbnail
    LabelFlow: Exploiting Workflow Provenance to Surface Scientific Data Provenance 
    Alper, Pinar; Belhajjame, Khalid; Goble, Carole; Karagoz, pinar (2015) Communication / Conférence
  • Thumbnail
    Keyword-Based Search of Workflow Fragments and Their Composition 
    Belhajjame, Khalid; Grigori, Daniela; Harmassi, Mariem; Ben Yahia, Manel (2017) Chapitre d'ouvrage
  • Thumbnail
    UP & DOWN: Improving Provenance Precision by Combining Workflow- and Trace-Level Information 
    Dey, Saumen; Belhajjame, Khalid; Koop, David; Song, Tianhong; Missier, Paolo; Ludäscher, Bertram (2014) Communication / Conférence
Dauphine PSL Bibliothèque logo
Place du Maréchal de Lattre de Tassigny 75775 Paris Cedex 16
Phone: 01 44 05 40 94
Contact
Dauphine PSL logoEQUIS logoCreative Commons logo