Method and system for generating analogous fictional data...

Data processing: database and file management or data structures – Database design – Database and data structure management

Reexamination Certificate

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C726S026000, C705S074000

Reexamination Certificate

active

07958162

ABSTRACT:
A method and system for generating analogous fictional data from non-fictional data, is provided. One implementation involves recording non-fictional data, scoring the non-fictional data in terms of occurrence percentile, obtaining a set of user-configurations that represents a likeness range between non-fictional data and corresponding fictional data, based on the scores and the user-configurations, generating analogous fictional data from the non-fictional data, and comparing hash values for the fictional data with hash values for the non-fictional data to determine matches, and in case of matches, generating analogous fictional data from the non-fictional data based on the scores and incrementally lowered likeness range, whereby entire records of fictional data are generated based on entire records of non-fictional data, wherein the fictional data is consistent with the non-fictional data.

REFERENCES:
patent: 6765569 (2004-07-01), Neumann et al.
patent: 7158979 (2007-01-01), Iverson et al.
patent: 7509684 (2009-03-01), McDonald et al.
patent: 2001/0037316 (2001-11-01), Shiloh
patent: 2002/0145573 (2002-10-01), Cheng
patent: 2002/0169793 (2002-11-01), Sweeney
patent: 2003/0167275 (2003-09-01), Rjaibi
patent: 2003/0208457 (2003-11-01), Iyengar
patent: 2006/0080554 (2006-04-01), McDonald et al.
patent: 2006/0123462 (2006-06-01), Lunt et al.
patent: 2007/0038944 (2007-02-01), Carignano et al.
patent: 2007/0255704 (2007-11-01), Beak et al.
patent: 2008/0103794 (2008-05-01), Pettiross et al.
patent: 2008/0140616 (2008-06-01), Encina et al.
patent: 2008/0189316 (2008-08-01), Otsuka
patent: 2008/0240425 (2008-10-01), Rosales et al.
patent: 2008/0310707 (2008-12-01), Kansal et al.
patent: 2009/0037453 (2009-02-01), Kemmler
patent: 2009/0307240 (2009-12-01), Basile
Samarati, P., Protecting Respondents' Identities in Microdata Release, IEEE, vol. 13, No. 6, Nov./Dec. 2001.
Sweeney, Latanya, Datafly: A System for Providing Anonymity in Medical Data, Database Security XI, Editors: T.Y. Lin and Shelly Qian, 1998.
Latanya.S, k -Anonymity: a model for protecting privacy, international journal on uncertainity, Fuzziness and knowledge-based system 10(5), 2002, pp. 1-14.
Yehuda Lindell , Benny Pinkas, Privacy Preserving Data Mining, Proceedings of the 20th Annual International Cryptology Conference on Advances in Cryptology, p. 36-54, Aug. 20-24, 2000.
Fuller, Arthur. “Intelligent database Design Using Hash Keys”. Feb. 17, 2006. http://www.simple-talk.com/sql/t-sql-programming/intelligent-database-design-using-hash-keys/.
Adam Meyerson, Ryan Williams. “General k -Anonymization is Hard.” Mar. 2003. CMU-CS-03-113. School of Computer Science. Carnegie Mellon University.
Dasseni et al., “Hiding Association Rules by Using Confidence and Support,” Lecture Notes in Computer Science; vol. 2137, Proceedings of the 4th International Workshop on Information Hiding, pp. 369-383 (1-13) 2000.
Edgar, Dale, “Data Sanitization Techniques A Net 2000 Ltd. White Paper,” Oct. 15, 2004.
Li et al., “MICF: An Effective Sanitization Algorithm for Hiding Sensitive Patterns on Data Mining,” Advanced Engineering Informatics vol. 21, Issue 3, Jul. 2007, pp. 269-280.
Clifton et al., “Security and Privacy Implications of Data Mining,” In ACM SIGMOD Workshop on Research Issues on Data Mining and Knowledge Discovery, (5 pages) dated 1996.
Bishop et al., “How to Sanitize Data,” Proceedings of the 13th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises, pp. 217-222, Year of Publication 2004.
Atallah, M, et al., “Disclosure Limitation of Sensitive Rules,” In Proceedings of KDEX '99, Chicago, IL, 1999.
Oliveira, Stanley et al., “Protecting Sensitive Knowledge by Data Sanitization,” In Proceedings of the 3rd IEEE International Conference on Data Mining (2003).

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