A machine learning solution to assess privacy policy completeness (short paper)

Proceedings of the ACM Conference on Computer and Communications Security

Volumn , Issue , 2012, Pages 91-96

  Costante, Elisa ^a   Sun, Yuanhao ^a   Petkovic, Milan ^b   Den Hartog, Jerry ^a  

^a EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b PHILIPS RESEARCH LABORATORIES   (Netherlands)

Author keywords

Machine learning; Natural language; Privacy; Privacy policy

Indexed keywords

AUTOMATIC CLASSIFIERS; DEGREE OF COVERAGES; INFORMED DECISION; LEGAL DOCUMENTS; MACHINE LEARNING TECHNIQUES; NATURAL LANGUAGES; PRIVACY POLICIES; PRIVACY REGULATION; TEXT CATEGORIZATION;

LEARNING SYSTEMS; TEXT PROCESSING;

DATA PRIVACY;

EID: 84869196720     PISSN: 15437221     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2381966.2381979     Document Type: Conference Paper

References (22)

1. P. Ashley, S. Hada, G. Karjoth, C. Powers, and M. Schunter. Enterprise privacy authorization language (EPAL). Technical report, IBM Research, 2003.
2. P. Beatty, I. Reay, S. Dick, and J. Miller. P3P Adoption on E-Commerce Web sites: A Survey and Analysis. IEEE Internet Computing, 11(2), 2007.
3. L. Breiman. Classification and regression trees. Wadsworth International Group, 1984.
4. C. Brodie, C. Karat, J. Karat, and J. Feng. Usable security and privacy: a case study of developing privacy management tools. In Proc. of SOUPS, 2005.
5. G. Brown. Ensemble learning. Encyclopedia of Machine Learning, 2010.
6. E. Costante, J. d. Hartog, and M. Petkovic. On-line Trust Perception: What Really Matters. In Proc. of STAST, 2011.
7. E. Costante, J. d. Hartog, and M. Petkovic. What Websites Know About You. In Proc. of DPM, 2012.
8. L. Cranor, M. Langheinrich, M. Marchiori, M. Presler-Marshall, and J. Reagle. The platform for privacy preferences 1.0 (P3P1. 0) specification. W3C, 2002.
9. H. Farrell. Constructing the International Foundations of E-Commerce - The EU-U.S. Safe Harbor Arrangement. International Organization, 57(02), 2003.
10. S. Kotsiantis and D. Kanellopoulos. Data preprocessing for supervised leaning. IJCSI, 1(2), 2006.
11. L. Kotthoff, I. Gent, and I. Miguel. A Preliminary Evaluation of Machine Learning in Algorithm Selection for Search Problems. In Proc. of SoCS, 2011.
12. H. Liu and R. Setiono. Chi2: feature selection and discretization of numeric attributes. In Proc. of ICTAI, 1995.
13. OASIS. eXtensible Access Control Markup Language (XACML) version 2.0. Technical report, OASIS, 2008.
14. R. Polikar. Ensemble based systems in decision making. Circuits and Systems Magazine, IEEE, 2006.
15. P. Refaeilzadeh, L. Tang, and H. Liu. Cross-validation. In Encyclopedia of Database Systems. Springer, 2009.
16. G. Salton and C. Buckley. Term-weighting approaches in automatic text retrieval. Information processing & management, 24(5), 1988.
17. F. Sebastiani. Machine learning in automated text categorization. ACM Computing Surveys, 34(1), 2002.
18. G. Sigletos, G. Paliouras, and C. D. Spyropoulos. Combining Information Extraction Systems Using Voting and Stacked Generalization. JMLR, 6, 2005.
19. W3C. Privacy Enhancing Browser Extensions. Technical report, W3C, 2011.
20. D. S. Wilks. Statistical forecasting. In International Geophysics, chapter 7. Academic Press, 2011.
21. D. Wolpert. Stacked generalization. Neural networks, 5(2), 1992.
22. W. Yu, S. Doddapaneni, and S. Murthy. A Privacy Assessment Approach for Serviced Oriented Architecture Application. In Proc. of SOSE, 2006.