Con-Aware Policy Enforcement for PaaS-Enabled Access ControlShow others and affiliations
2022 (English)In: IEEE Transactions on Cloud Computing, ISSN 2168-7161, Vol. 10, no 1, p. 276-291Article in journal (Refereed) Published
Abstract [en]
It is generally conceded that, due to security and privacy concerns, enterprises and users are reluctant to embracethe cloud computing paradigm and hence benefit from the cost reductions and the increased flexibility or business agility that thisparadigm brings about. These concerns stem mainly from the significantly-expanded attack surfaces that result from theheterogeneous nature of cloud services and the dynamicity inherent in cloud environments. In order to alleviate these concerns,effective and flexible access control approaches are required to consider the contextual parameters that characterise data accessrequests in the cloud. In this respect, this work presents PaaSword: a novel holistic access control framework—essentially a PaaSoffering—that extends the popular XACML standard with semantic reasoning capabilities that support the federation of effectivecontext-aware access control policies and their infusion into cloud applications with minimal manual intervention and effort. Todetermine the performance of our solution, a comparative evaluation test is presented and discussed, against a well-knownreference implementation of the XACML standard, namely the open source WSO2 Balana engine.
Place, publisher, year, edition, pages
IEEE, 2022. Vol. 10, no 1, p. 276-291
Keywords [en]
Access Control, Cloud Computing, context-aware policy enforcement
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:ri:diva-39612DOI: 10.1109/TCC.2019.2927341Scopus ID: 2-s2.0-85069918799OAI: oai:DiVA.org:ri-39612DiVA, id: diva2:1339221
Projects
PaaSword
Funder
EU, Horizon 2020, 644814
Note
The authors are grateful for the financial support from the United States Army Corps of Engineers and Resources for the Future in the development and subsequent examination of social impact assessment methodologies.
2019-07-262019-07-262025-09-23Bibliographically approved