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How to capture, model, and verify the knowledge of legal, security, and privacy experts: A pattern-based approach

  • L. Compagna
  • , P. El Khoury
  • , F. Massacci
  • , R. Thomas
  • , N. Zannone

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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. Copyright 2007 ACM.
Original languageEnglish
Title of host publicationEleventh International Conference on Artificial Intelligence and Law, Proceedings
Pages149-153
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event11th International Conference on Artificial Intelligence and Law - Stanford, CA, United States
Duration: 4 Jun 20078 Jun 2007

Publication series

NameProceedings of the International Conference on Artificial Intelligence and Law

Conference

Conference11th International Conference on Artificial Intelligence and Law
Country/TerritoryUnited States
CityStanford, CA
Period4/06/078/06/07

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