@INPROCEEDINGS{comp-elkh-mass-thom-zann-07-ICAIL,
  title = {{How to capture, model, and verify the knowledge of legal, security, and privacy experts: a pattern-based approach}},
  author = {{Luca} {Compagna} and {Paul El} {Khoury} and {Fabio} {Massacci} and {Reshma} {Thomas} and {Nicola} {Zannone}},
  booktitle = {Proceedings of the 11th International Conference on Artificial Intelligence and Law, Proceedings of the Conference (ICAIL 2007). June 4th-8th, 2007. S},
  pages = {149--154},
  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 this 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.},
  publisher = {ACM Press},
  year = {2007},
  url = {http://www.cs.toronto.edu/~zannone/publication/comp-elkh-mass-thom-zann-07-ICAIL.pdf},
  address = {New York},
  partner = {UNITN},
  task = {T7.3},
}