Pau, Louis-François (2007): Privacy metrics and boundaries.
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Abstract
This paper aims at defining a set of privacy metrics (quantitative and qualitative) in the case of the relation between a privacy protector ,and an information gatherer .The aims with such metrics are : -to allow to assess and compare different user scenarios and their differences ;for examples of scenarios see [4]; -to define a notion of privacy boundary, and design it to encompass the set of information , behaviours , actions and processes which the privacy protector can accept to expose to an information gathering under an agreement with said party ; everything outside the boundary is not acceptable and justifies not entering into the agreement ; -to characterize the contribution of privacy enhancing technologies (PET). A full case is given with the qualitative and quantitative privacy metrics determination and envelope, i.e. a Cisco Inc. privacy agreement.
Item Type: | MPRA Paper |
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Original Title: | Privacy metrics and boundaries |
Language: | English |
Keywords: | Privacy; Metrics; Set theory; Economics; Privacy enhancing technologies |
Subjects: | D - Microeconomics > D1 - Household Behavior and Family Economics > D18 - Consumer Protection L - Industrial Organization > L8 - Industry Studies: Services > L84 - Personal, Professional, and Business Services D - Microeconomics > D8 - Information, Knowledge, and Uncertainty > D82 - Asymmetric and Private Information ; Mechanism Design F - International Economics > F1 - Trade > F19 - Other C - Mathematical and Quantitative Methods > C8 - Data Collection and Data Estimation Methodology ; Computer Programs > C89 - Other D - Microeconomics > D0 - General > D03 - Behavioral Microeconomics: Underlying Principles A - General Economics and Teaching > A1 - General Economics > A13 - Relation of Economics to Social Values L - Industrial Organization > L8 - Industry Studies: Services > L86 - Information and Internet Services ; Computer Software D - Microeconomics > D0 - General > D01 - Microeconomic Behavior: Underlying Principles |
Item ID: | 31018 |
Depositing User: | L-F Pau |
Date Deposited: | 20 May 2011 19:32 |
Last Modified: | 02 Oct 2019 15:06 |
References: | [1] Denny, Mand Gaines, S. , “Chance in biology. Using probability to explore nature”, Princeton, NJ: Princeton University Press. xiii, 291 p. ,ISBN 0-691-09494-2 [2] Gumbel E.J., “Statistics of Extremes”, Columbia University Press, 1958 [3] Johnson, R.A., “ Stress-strength models for reliability”, in P.R.Krisnaiah, C.R.Rao (Eds) “Handbook of statistics”, Vol 7 , 1988, 27-54, North Holland ,Amsterdam [4] Kumagai J., and , Cherry,S., “Sensor nation” :Sensors and sensibility, IEEE Spectrum, Vol 41, no 7, July 2004, 18-40 [5] Pau L-F , “Survey of expert systems for risk assessment, test generation , and maintenance”, in : A.Kandel, E. Avni (Eds) , “Engineering risk and hazard assessment” , Vol II, CRC Press, Boca Raton,FL, ISBN 0-8493-4657-6, pp117-135 [6] “Privacy policy Colorado”, http://sciencepolicy.colorado.edu/admin/publication_files/resourse-14-2003.37.pdf [7] Danezis, Andrei Serjantov ; George , Towards an information theoretic metric for anonymity, in :Paul Syverson , Roger Dingledine, (Eds),and ”Privacy Enhancing Technologies - PET '02”. Springer Verlag, LNCS, 2002., URL: http://petworkshop.org/2004/talks/rump/serjantov1.ppt |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/31018 |