Additive noise and multiplicative bias as disclosure limitation techniques for continuous microdata: A simulation study

Journal of Computational Methods in Sciences and Engineering

Volumn 4, Issue 1-2, 2004, Pages 5-16

  Trottini, M ^a   Fienberg, S E ^b   Makov, U E ^c   Meyer, M M ^d  

^a UNIVERSITY OF VALENCIA   (Spain)

^b Carnegie Mellon University ^*  (United States)

^c UNIVERSITY OF HAIFA   (Israel)

^d Intelligent Results Inc   (United States)

Author keywords

Confidentiality; disclosure limitation; identity disclosure; intruder behavior; simulated data

Indexed keywords

ADDITIVES;

CONFIDENTIALITY; DISCLOSURE LIMITATIONS; IDENTITY DISCLOSURE; INTRUDER BEHAVIOR; SIMULATED DATA;

ADDITIVE NOISE;

EID: 37249006646     PISSN: 14727978     EISSN: None     Source Type: Journal    
DOI: 10.3233/jcm-2004-41-203     Document Type: Conference Paper

References (18)

1. C.A. Clayton and W.K. Poole, Use of Randomized Response Techniques in Maintaining Confidentiality of Data, Draft report RTI Project No. 2520-1159, Research Triangle Park, N.C., 1976.
2. J. Domingo-Ferrer and V. Torra, A Quantitative Comparison of Disclosure Control Methods for Microdata, in: Confidentiality, Disclosure, and Data Access. Theory and Applications for Statistical Agencies, P. Doyle, J. Lane, J.M. Theeuwes and L.V. Zayatz, eds, North-Holland, Amsterdam, 2001, pp. 111-134.
3. P. Doyle, J. Lane, J.M. Theeuwes and L.V. Zayatz, eds, Confidentiality, Disclosure, and Data Access. Theory and Applications for Statistical Agencies, North-Holland, Amsterdam, 2001.
4. G.T. Duncan and D. Lambert, The Risk Disclosure of Microdata, Journal of Business and Economic Statistics 7 (1989), 207-217.
5. S.E. Fienberg, Conflict Between the Needs for Access Statistical Information and Demands for Confidentiality, Journal of Official Statistics 10 (1994), 115-132.
6. S.E. Fienberg, E.U. Makov and A.P. Sanil, A Bayesian Approach to Data Disclosure: Optimal Intruder Behavior for Continuous Data, Journal of Official Statistics 13 (1997), 75-89.
7. J.M. Gouweleeuw, P. Kooiman, L.C.R.J. Willenborg and P.-P. de Wolf, Post Randomisation for Statistical Disclosure Control: Theory and Implementation, Journal of Official Statistics 14 (1998), 463-478.
8. W.A. Fuller, Measurement Error Models, New York, John Wiley, 1987.
9. W.A. Fuller, Masking Procedures for Microdata, Journal of Official Statistics 9 (1993), 383-406.
10. R.J.A. Little, Statistical Analysis of Masked Data, Journal of Official Statistics 9 (1993), 407-426.
11. J. Kim, A Method for Limiting Disclosure in Microdata Based on Random Noise and Transformation, Proceedings of the Survey Research Method Section, American Statistical Association, Alexandria, VA, USA, 1986, pp. 370-374.
12. G. Paas, Disclosure Risk and Disclosure Avoidance for Microdata, Journal of Business and Economic Statistics 6 (1988), 487-500.
13. G. Sullivan and W.A. Fuller, The use of Measurements errors to Avoid Disclosure, Proceedings of the Survey Research Methods Section, American Statistical Association, Alexandria, VA, USA, 1989, pp. 802-807.
14. G. Sullivan and W.A. Fuller, Construction of Masking Error for Categorical Variables, Proceedings of the Survey Research Methods Section, American Statistical Association, Alexandria, VA, USA, 1990, pp. 435-439.
15. M. Trottini, A User-Agency Model for Disclosure Limitation Problems, Technical Report TR04-2002, Departamento de Estadística e I.O., Universitat de València, 2002.
16. M. Trottini and S.E. Fienberg, Modelling User Uncertainty for Disclosure Risk and Data Utility, International Journal on Uncertainty, Fuzziness and Knowledge-Based Systems 10(5) (2002), 511-528.
17. L. Willenborg and T. De Waal, Statistical Disclosure Control in Practice, Lecture Notes in Statistics 111 (1996), New York, Springer.
18. L. Willenborg and T. De Waal, Elements of Disclosure Control, Lecture Notes in Statistics 155 (2001), New York, Springer.