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Access Control Models in Linked Open Government Data (Linked OGD): A Systematic Literature Review and an Analysis According to NIST
2014 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Nowadays, the issue of data opening and the advantages and disadvantages associated with it has absorbed a great deal of attention. The main concert about the growth of open data (OD), especially Open Government Data (OGD) and Linked Open Government Data (Linked OGD), is to find an approach in order to maintain the privacy of data. Therefore, in this study, different models that control the access level of different users to different datasets have been tracedthrough searching different scientific resources. Moreover, in order to compare theadministration, performance, enforcement, and support properties of these access control models(including Privacy Preference Ontology (PPO) access control; Social Semantic SPARQLSecurity for Access Control Ontology (S4AC); Context-Aware Access Control, knowledgebased Access Control; Abstract model Access Control; and Resource Description Framework(RDF) restriction Access Control), NISTIR7874, which is a guideline for evaluation of access control systems, was chosen as the reference standard. Thus, various parameters of NISTIR7874 were extracted. Afterwards, distinct properties of these access control models were compared based on the NISTIR7874 standard. As a result, Privacy Preference Ontology (PPO) was chosen as the most qualified access control model based on NISTIR7874 standard since Privacy Preference Ontology (PPO) model could more efficiently address the metrics of its content in comparison with the other models. Finally, different characteristic of PPO were explained.

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URN: urn:nbn:se:ltu:diva-51396Local ID: 896f1665-aaa3-425e-80aa-adbf8b82329cOAI: diva2:1024757
Subject / course
Student thesis, at least 30 credits
Educational program
Computer Science and Engineering, master's level
Validerat; 20140820 (global_studentproject_submitter)Available from: 2016-10-04 Created: 2016-10-04Bibliographically approved

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Ghazimirsaied, Seyedeh Elaheh

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