NDLI: Expressions of expertness: the virtuous circle of natural language for access control policy specification

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Expressions of expertness: the virtuous circle of natural language for access control policy specification

Content Provider	ACM Digital Library
Author	Chadwick, David Sasse, M. Angela Shi, Lei Lei Inglesant, Philip
Abstract	The implementation of usable security is particularly challenging in the growing field of Grid computing, where control is decentralised, systems are heterogeneous, and authorization applies across administrative domains. PERMIS, based on the Role-Based Access Control (RBAC) model, provides a unified infrastructure to address these challenges. Previous research has found that resource owners who do not understand the PERMIS RBAC model have difficulty expressing access control policies. We have addressed this issue by investigating the use of a controlled natural language parser for expressing these policies. In this paper, we describe our experiences in the design, implementation, and evaluation of this parser for the PERMIS Editor. We began by understanding Grid access control needs as expressed by resource owners, through interviews and focus groups with 45 Grid practitioners. We found that the many areas of Grid computing use present varied security requirements; this suggests a minimal, open design. We designed and implemented a controlled natural language system to support these needs, which we evaluated with a cross-section of 17 target users. We found that participants were not daunted by the text editor, and understood the syntax easily. However, some strict requirements of the controlled language were problematic. Using controlled natural language helps overcome some conceptual mis-matches between PERMIS RBAC and older paradigms; however, there are still subtleties which are not always understood. In conclusion, the parser is not sufficient on its own, and should be seen in the interplay with other parts of the PERMIS Editor, so that, iteratively, users are helped to understand the underlying PERMIS model and to express their security policies more accurately and more completely.
Starting Page	77
Ending Page	88
Page Count	12
File Format	PDF
ISBN	9781605582764
DOI	10.1145/1408664.1408675
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2008-07-23
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Access control Authorization Qualitative methods Rbac Grid computing Controlled natural language Observations
Content Type	Text
Resource Type	Article

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