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How to capture, model, and verify the knowledge of legal, security, and privacy experts: a pattern-based approach
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International Conference on Artificial Intelligence and Law archive
Proceedings of the 11th international conference on Artificial intelligence and law table of contents
Stanford, California
SESSION: Modelling aspects of law table of contents
Pages: 149 - 153  
Year of Publication: 2007
ISBN:978-1-59593-680-6
Authors
Luca Compagna  SAP Research
Paul El Khoury  SAP Research
Fabio Massacci  University of Trento
Reshma Thomas  University of Leuven
Nicola Zannone  University of Trento
Sponsor
: International Association for Artificial Intelligence and Law
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 11,   Downloads (12 Months): 130,   Citation Count: 2
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ABSTRACT

Laws set requirements that force organizations to assess the security and privacy of their IT systems and impose the adoption of the implementation of minimal precautionary security measures. Several frameworks have been proposed to deal with thii issue. For instance, purpose-based access control is normally considered a good solution for meeting the requirements of privacy legislation. Yet, understanding why, how, and when such solutions to security and privacy problems have to be deployed is often unanswered.

In this paper, we look at the problem from a broader perspective, accounting for legal and organizational issues. Security engineers and legal experts should be able to start from the organizational model and derive from there the points where security and privacy problems may arise and determine which solutions best fit the (legal) problems that they face. In particular, we investigate the methodology needed to capture security and privacy requirements for a Health Care Centre using a smart items infrastructure.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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Collaborative Colleagues:
Luca Compagna: colleagues
Paul El Khoury: colleagues
Fabio Massacci: colleagues
Reshma Thomas: colleagues
Nicola Zannone: colleagues