Change search
Refine search result
1 - 7 of 7
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Rows per page
  • 5
  • 10
  • 20
  • 50
  • 100
  • 250
Sort
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
Select
The maximal number of hits you can export is 250. When you want to export more records please use the Create feeds function.
  • 1.
    Angulo, Julio
    et al.
    Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Information Systems and Project Management. Karlstad University, Faculty of Arts and Social Sciences (starting 2013), Centre for HumanIT.
    Berthold, Stefan
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science. Karlstad University, Faculty of Economic Sciences, Communication and IT, Centre for HumanIT.
    Elkhiyaoui, Kaoutar
    EURECOM.
    Fernandez Gago, M. Carmen
    University of Málaga.
    Fischer-Hübner, Simone
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science. Karlstad University, Faculty of Economic Sciences, Communication and IT, Centre for HumanIT.
    David, Nunez
    University of Málaga.
    Pulls, Tobias
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science. Karlstad University.
    Reuben, Jenni
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science. Karlstad University.
    Van Rompay, Cédric
    EURECOM.
    Santana de Oliveira, Anderson
    SAP Labs.
    Önen, Melek
    EURECOM.
    D:D-5.3 User-Centric Transparency Tools V22015Report (Refereed)
  • 2.
    Pais, Rui
    et al.
    University of Stavanger.
    Wiktor Wlodarczyk, Tomasz
    University of Stavanger.
    Rübsamen, Thomas
    Hochschule Furtwangen University.
    Reich, Christoph
    Hochschule Furtwangen University.
    Azraoui, Monir
    EURECOM.
    Royer, Jean-Claude
    ARMINES-EMN.
    Reuben, Jenni
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science.
    Pulls, Tobias
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science.
    Bernsmed, Karin
    SINTEF.
    Felici, Massimo
    HP.
    Pais, Rui (Editor)
    University of Stavanger.
    D:C-8.2 Framework of Evidence2015Report (Refereed)
  • 3.
    Reuben, Jenni
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).
    Privacy-aware Use of Accountability Evidence2017Licentiate thesis, comprehensive summary (Other academic)
    Abstract [en]

    This thesis deals with the evidence that enable accountability, the privacy risks involved in using them and a privacy-aware solution to the problem of unauthorized evidence disclosure. 

    Legal means to protect privacy of an individual is anchored on the data protection perspective i.e., on the responsible collection and use of personal data. Accountability plays a crucial role in such legal privacy frameworks for assuring an individual’s privacy. In the European context, accountability principle is pervasive in the measures that are mandated by the General Data Protection Regulation. In general, these measures are technically achieved through automated privacy audits. System traces that record the system activities are the essential inputs to those automated audits. Nevertheless, the traces that enable accountability are themselves subject to privacy risks, because in most cases, they inform about processing of the personal data. Therefore, ensuring the privacy of the accountability traces is equally important as ensuring the privacy of the personal data. However, by and large, research involving accountability traces is concerned with storage, interoperability and analytics challenges rather than on the privacy implications involved in processing them.

    This dissertation focuses on both the application of accountability evidence such as in the automated privacy audits and the privacy aware use of them. The overall aim of the thesis is to provide a conceptual understanding of the privacy compliance research domain and to contribute to the solutions that promote privacy-aware use of the traces that enable accountability. To address the first part of the objective, a systematic study of existing body of knowledge on automated privacy compliance is conducted. As a result, the state-of-the-art is conceptualized as taxonomies. The second part of the objective is accomplished through two results; first, a systematic understanding of the privacy challenges involved in processing of the system traces is obtained, second, a model for privacy aware access restrictions are proposed and formalized in order to prevent illegitimate access to the system traces. Access to accountability traces such as provenance are required for automatic fulfillment of accountability obligations, but they themselves contain personally identifiable information, hence in this thesis we provide a solution to prevent unauthorized access to the provenance traces.

  • 4.
    Reuben, Jenni
    et al.
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).
    Fischer-Hübner, Simone
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013). Karlstad University.
    A Privacy Focused Formal Model of Authorization for Data Modeled using Semantic Web Technologies2017In: The Ninth International Conference on Advances in Databases, Knowledge, and Data Applications, 2017Conference paper (Refereed)
    Abstract [en]

    Origin of digital artifacts is asserted by digital provenance information. Provenance information is queried for proof statement validations, failure analysis, as well as replication and attribution validations. The history of data that specifies dependency among different data items that produce the data is better captured using semantic web technologies. However, such provenance information contains sensitive information such as personally identifiable information. Further, in the context of Semantic Web knowledge representation, the interrelationships among different provenance elements imply additional knowledge. In this paper, we propose an authorization model that enforces the purpose limitation principle for such semantically related information. We present the formalization of the security policy, however the policy does not reflect the direct implementation of the desired authorization. Therefore, security properties for important relationships such as sub set, set union and set intersection are defined in order to ensure consistency of the security policy. Finally, a use case scenario demonstrating the defined security policy and the properties is presented to indicate the applicability of the proposed model

  • 5.
    Reuben, Jenni
    et al.
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013). Karlstad University.
    Martucci, Leonardo A
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013). Karlstad University.
    Fischer-Hübner, Simone
    Karlstad University, Division for Information Technology.
    Automated Log Audits for Privacy Compliance Validation: A Literature Survey2016In: Privacy and Identity Management. Time for a Revolution?: 10th IFIP WG 9.2, 9.5, 9.6/11.7, 11.4, 11.6/SIG 9.2.2 International Summer School, Edinburgh, UK, August 16-21, 2015, Revised Selected Papers, Springer, 2016, Vol. 476, p. 13p. 312-326Conference paper (Refereed)
    Abstract [en]

    Log audits are the technical means to retrospectively reconstruct and analyze system activities for determining if the system events are in accordance with the rules. In the case of privacy compliance, compliance by detection approaches are promoted for achieving data protection obligations such as accountability and transparency. However significant challenges remain to fulfill privacy requirements through these approaches. This paper presents a systematic literature review that reveals the theoretical foundations of the state-of-art detective approaches for privacy compliance. We developed a taxonomy based on the technical design describing the contextual relationships of the existing solutions. The technical designs of the existing privacy detection solutions are primarily classified into privacy misuse detection and privacy anomaly detection. However, the design principles of these solutions are, to validate need-to-know and access control obligations hence the state-of-art privacy compliance validation mechanisms focus on usage limitations and accountability. The privacy compliance guarantee they provide is subtle when compared to the requirements arising from privacy regulations and data protection obligations.

  • 6.
    Reuben, Jenni
    et al.
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).
    Martucci, Leonardo A
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).
    Fischer-Hübner, Simone
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).
    Packer, Heather
    University of Southampton, England.
    Hedbom, Hans
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).
    Moreau, Luc
    University of Southampton, England.
    Privacy Impact Assessment Template for Provenance2016In: Proceedings of 2016 11th International Conference on Availability, Reliability and Security, (Ares 2016), IEEE, 2016, p. 653-660Conference paper (Refereed)
  • 7.
    Wiktor Wlodarczyk, Tomasz
    et al.
    University of Stavanger.
    Pais, Rui
    University of Stavanger.
    Azraoui, Monir
    EURECOM.
    Önen, Melek
    EURECOM.
    Reuben, Jenni
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science. Karlstad University.
    Pulls, Tobias
    Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science.
    Sellami, Mohamed
    ARMINES EMN.
    Royer, Jean-Claude
    ARMINES EMN.
    Felici, Massimo
    HP Labs.
    Bernsmed, Karin
    SINTEF.
    Rübsamen, Thomas (Editor)
    Hochschule Furtwangen University.
    D:C-8.3 Automation Service for the Framework of Evidence2015Report (Refereed)
1 - 7 of 7
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf