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 ABSTRACT
Today organizations do not have good ways of linking their written privacy policies with the implementation of those policies. To assist organizations in addressing this issue, our human-centered research has focused on understanding organizational privacy management needs, and, based on those needs, creating a usable and effective policy workbench called SPARCLE. SPARCLE will enable organizational users to enter policies in natural language, parse the policies to identify policy elements and then generate a machine readable (XML) version of the policy. In the future, SPARCLE will then enable mapping of policies to the organization's configuration and provide audit and compliance tools to ensure that the policy implementation operates as intended. In this paper, we present the strategies employed in the design and implementation of the natural language parsing capabilities that are part of the functional version of the SPARCLE authoring utility. We have created a set of grammars which execute on a shallow parser that are designed to identify the rule elements in privacy policy rules. We present empirical usability evaluation data from target organizational users of the SPARCLE system and highlight the parsing accuracy of the system with the organizations' privacy policies. The successful implementation of the parsing capabilities is an important step towards our goal of providing a usable and effective method for organizations to link the natural language version of privacy policies to their implementation, and subsequent verification through compliance auditing of the enforcement logs.
REFERENCES
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CITED BY 6
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Kami Vaniea , Clare-Marie Karat , Joshua B. Gross , John Karat , Carolyn Brodie, Evaluating assistance of natural language policy authoring, Proceedings of the 4th symposium on Usable privacy and security, July 23-25, 2008, Pittsburgh, Pennsylvania
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Lujo Bauer , Lorrie Faith Cranor , Robert W. Reeder , Michael K. Reiter , Kami Vaniea, Real life challenges in access-control management, Proceedings of the 27th international conference on Human factors in computing systems, April 04-09, 2009, Boston, MA, USA
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INDEX TERMS
Primary Classification:
H.
Information Systems
H.5
INFORMATION INTERFACES AND PRESENTATION (I.7)
H.5.2
User Interfaces (D.2.2, H.1.2, I.3.6)
Additional Classification:
K.
Computing Milieux
K.4
COMPUTERS AND SOCIETY
K.4.1
Public Policy Issues
General Terms:
Design,
Human Factors,
Management,
Security
Keywords:
design,
policy,
privacy,
security,
social and legal issues,
usability
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