On Using Obligations for Usage Control in Joining of Datasets View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2018-06-09

AUTHORS

Mortaza S. Bargh , Marco Vink , Sunil Choenni

ABSTRACT

Legitimately collected and accessed data must also be used appropriately according to laws, guidelines, policies or the (current) preferences of data subjects. For example, inconsistency between the data collection purpose and the data usage purpose may conflict with some privacy principles. In this contribution we motivate adopting the usage control model when joining vertically-separated relational datasets and characterize it as obligations within the Usage Control (UCON) model. Such obligations are defined by the state of the object (i.e., a dataset) in the UCON model with respect to the state of another object/dataset. In case of the join operation, dependency on two UCON objects (i.e., two datasets) results in a new type of UCON obligations. We describe also a number of mechanisms to realize the identified concept in database management systems. To this end, we also provide some example methods for determining whether two given datasets can be joined. More... »

PAGES

173-196

References to SciGraph publications

  • 2005. On Obligations in COMPUTER SECURITY – ESORICS 2005
  • 2008-07. Purpose based access control for privacy protection in relational database systems in THE VLDB JOURNAL
  • 2016. Privacy and Security in Smart Data Collection by Citizens in SMARTER AS THE NEW URBAN AGENDA
  • 2013-12. Unique in the Crowd: The privacy bounds of human mobility in SCIENTIFIC REPORTS
  • 2003. Usage Control: A Vision for Next Generation Access Control in COMPUTER NETWORK SECURITY
  • 2003-09. Provisions and Obligations in Policy Rule Management in JOURNAL OF NETWORK AND SYSTEMS MANAGEMENT
  • 2013. From Oblivious AES to Efficient and Secure Database Join in the Multiparty Setting in APPLIED CRYPTOGRAPHY AND NETWORK SECURITY
  • Book

    TITLE

    Information Systems Security and Privacy

    ISBN

    978-3-319-93353-5
    978-3-319-93354-2

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-93354-2_9

    DOI

    http://dx.doi.org/10.1007/978-3-319-93354-2_9

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1104475601


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