Kunz, Michael and Puchta, Alexander and Groll, Sebastian and Fuchs, Ludwig and Pernul, Guenther (2019) Attribute quality management for dynamic identity and access management. JOURNAL OF INFORMATION SECURITY AND APPLICATIONS, 44. pp. 64-79. ISSN 2214-2126, 2214-2134
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Identity and access management (IAM) has become one main challenge for companies over the last decade. Most of the medium-sized and large organizations operate standardized IAM infrastructures in order to comply with regulations and improve the level of IAM automation. A recent trend is the application of attribute-based access control (ABAC) for automatically assigning permissions to employees. The success of ABAC, however, heavily relies on the availability of high-quality attribute definitions and values. Up to now, no structured attribute quality management approach for IAM environments exists. Within this paper, we propose TAQM, a comprehensive approach building on a tool-supported structured process for measuring and improvement of IAM data quality. During the evaluation of three real-life use cases within large industrial companies we underline the applicability of TAQM for the identification and cleansing of attribute errors by IT and non-IT experts as well as the general introduction of quality management processes for IAM. (C) 2018 Elsevier Ltd. All rights reserved.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | INFORMATION; SYSTEMS; Identity management; Identity and access management; Access management; Attribute quality; Quality management; Attribute-based access control; ABAC |
| Subjects: | 300 Social sciences > 330 Economics |
| Divisions: | Business, Economics and Information Systems > Institut für Wirtschaftsinformatik > Lehrstuhl für Wirtschaftsinformatik I - Informationssysteme (Prof. Dr. Günther Pernul) |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 22 Apr 2020 08:45 |
| Last Modified: | 22 Apr 2020 08:45 |
| URI: | https://pred.uni-regensburg.de/id/eprint/27681 |
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