Download Data Privacy Management and Autonomous Spontaneous Security: by Vicenç Torra (auth.), Joaquin Garcia-Alfaro, Guillermo PDF

By Vicenç Torra (auth.), Joaquin Garcia-Alfaro, Guillermo Navarro-Arribas, Ana Cavalli, Jean Leneutre (eds.)

This e-book constitutes the completely refereed joint publish complaints of 2 foreign workshops, the fifth foreign Workshop on info privateness administration, DPM 2010, and the third foreign Workshop on self reliant and Spontaneous safeguard, SETOP 2010, collocated with the ESORICS 2010 symposium in Athens, Greece, in September 2010. The nine revised complete papers for DPM 2010 offered including keynote talks are followed via 7 revised complete papers of SETOP 2010; all papers have been rigorously reviewed and chosen for inclusion within the booklet. The DPM 2010 papers disguise subject matters reminiscent of tips on how to translate the high-level company objectives into system-level privateness guidelines, management of privacy-sensitive facts, privateness facts integration and engineering, privateness entry regulate mechanisms, information-oriented protection, and question execution on privacy-sensitive info for partial solutions. The SETOP 2010 papers deal with a number of particular features of the formerly stated issues, as for example the autonomic management of safety rules, safe P2P garage, RFID authentication, anonymity in acceptance platforms, etc.

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Extra info for Data Privacy Management and Autonomous Spontaneous Security: 5th International Workshop, DPM 2010 and 3rd International Workshop, SETOP 2010, Athens, Greece, September 23, 2010, Revised Selected Papers

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22–35, 2011. c Springer-Verlag Berlin Heidelberg 2011 A User-Oriented Anonymization Mechanism for Public Data 23 Original Table Quasi-Identifiers Sensitive Information Birth Gender Zip Nationality Problem 1985 1985 1985 1985 1984 1984 Male Male Female Female Male Male 01243 01242 01241 01245 01234 01232 UK Italy UK Italy USA USA Shortness of Breath Chest Pain Hypertension Hypertension Chest Pain Obesity Example of Anonymization Table (k=2) Quasi-Identifiers Sensitive Information Birth Gender Zip Nationality Problem 1985 1985 1985 1985 1984 1984 Male Male Female Female Male Male 0124* 0124* 0124* 0124* 0123* 0123* Europe Europe Europe Europe USA USA Shortness of Breath Chest Pain Hypertension Hypertension Chest Pain Obesity Fig.

Springer, Heidelberg (2001) 35. : Masking and re-identification methods for public-use microdata: Overview and research problems. , Torra, V. ) PSD 2004. LNCS, vol. 3050, pp. 231–246. Springer, Heidelberg (2004) 36. : (α, k)-anonymity: an enhanced k-anonymity model for privacy preserving data publishing. In: Proc. of ACM SIGKDD 2006, pp. 754–759 (2006) 37. : Personalized privacy preservation. In: Proc. of SIGMOD 2006, pp. 229–240. ACM, New York (2006) 38. : Utility-based anonymization for privacy preservation with less information loss.

The adoption of microdata protection techniques needs to balance two contrasting needs: the need of the data recipient for complete and detailed data, and the need of respondents for privacy protection. Recently, several techniques have been proposed to assess the information loss (and, consequently, the utility) due to the application of a given protection technique. However, current proposals are dependent on the actual protection model that is applied to the released dataset. Moreover, it has to be noted that the utility of a given dataset is not an absolute measure: it is closely related to how data will be used.

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