On some consequences of the permutation paradigm for data anonymization: Centrality of permutation matrices, universal measures of disclosure risk and information loss, evaluation by dominance
Recently, the permutation paradigm has been proposed in data anonymization to describe any micro data masking method as permutation, paving the way for performing meaningful analytical comparisons of methods, something that is difficult currently in statistical disclosure control research. This pape...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Ruiz, Nicolas [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2018transfer abstract |
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| Umfang: |
14 |
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| Übergeordnetes Werk: |
Enthalten in: Mo1264 Clinical Characteristics of Inflammatory Bowel Disease May Influence the Cancer Risk When Using Immunomodulators: Incident Cases of Cancer in a Multicenter Case-Control Study - Petrruzziello, Carmelina ELSEVIER, 2013, an international journal, New York, NY |
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| Übergeordnetes Werk: |
volume:430 ; year:2018 ; pages:620-633 ; extent:14 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.ins.2017.10.048 |
|---|
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ELV041672925 |
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10.1016/j.ins.2017.10.048 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001217.pica (DE-627)ELV041672925 (ELSEVIER)S0020-0255(16)31197-5 DE-627 ger DE-627 rakwb eng 610 VZ 570 VZ BIODIV DE-30 fid 35.70 bkl 42.12 bkl 42.15 bkl Ruiz, Nicolas verfasserin aut On some consequences of the permutation paradigm for data anonymization: Centrality of permutation matrices, universal measures of disclosure risk and information loss, evaluation by dominance 2018transfer abstract 14 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Recently, the permutation paradigm has been proposed in data anonymization to describe any micro data masking method as permutation, paving the way for performing meaningful analytical comparisons of methods, something that is difficult currently in statistical disclosure control research. This paper explores some consequences of this paradigm by establishing some class of universal measures of disclosure risk and information loss that can be used for the evaluation and comparison of any method on most data, under any parametrization and independently of the characteristics of the data to be anonymized. These measures lead to the introduction in data anonymization of the concepts of dominance in disclosure risk and information loss, which formalize the fact that different parties involved in micro data transaction can all have different sensitivities to privacy and information. Recently, the permutation paradigm has been proposed in data anonymization to describe any micro data masking method as permutation, paving the way for performing meaningful analytical comparisons of methods, something that is difficult currently in statistical disclosure control research. This paper explores some consequences of this paradigm by establishing some class of universal measures of disclosure risk and information loss that can be used for the evaluation and comparison of any method on most data, under any parametrization and independently of the characteristics of the data to be anonymized. These measures lead to the introduction in data anonymization of the concepts of dominance in disclosure risk and information loss, which formalize the fact that different parties involved in micro data transaction can all have different sensitivities to privacy and information. Enthalten in Elsevier Science Inc Petrruzziello, Carmelina ELSEVIER Mo1264 Clinical Characteristics of Inflammatory Bowel Disease May Influence the Cancer Risk When Using Immunomodulators: Incident Cases of Cancer in a Multicenter Case-Control Study 2013 an international journal New York, NY (DE-627)ELV011843691 volume:430 year:2018 pages:620-633 extent:14 https://doi.org/10.1016/j.ins.2017.10.048 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 35.70 Biochemie: Allgemeines VZ 42.12 Biophysik VZ 42.15 Zellbiologie VZ AR 430 2018 620-633 14 |
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10.1016/j.ins.2017.10.048 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001217.pica (DE-627)ELV041672925 (ELSEVIER)S0020-0255(16)31197-5 DE-627 ger DE-627 rakwb eng 610 VZ 570 VZ BIODIV DE-30 fid 35.70 bkl 42.12 bkl 42.15 bkl Ruiz, Nicolas verfasserin aut On some consequences of the permutation paradigm for data anonymization: Centrality of permutation matrices, universal measures of disclosure risk and information loss, evaluation by dominance 2018transfer abstract 14 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Recently, the permutation paradigm has been proposed in data anonymization to describe any micro data masking method as permutation, paving the way for performing meaningful analytical comparisons of methods, something that is difficult currently in statistical disclosure control research. This paper explores some consequences of this paradigm by establishing some class of universal measures of disclosure risk and information loss that can be used for the evaluation and comparison of any method on most data, under any parametrization and independently of the characteristics of the data to be anonymized. These measures lead to the introduction in data anonymization of the concepts of dominance in disclosure risk and information loss, which formalize the fact that different parties involved in micro data transaction can all have different sensitivities to privacy and information. Recently, the permutation paradigm has been proposed in data anonymization to describe any micro data masking method as permutation, paving the way for performing meaningful analytical comparisons of methods, something that is difficult currently in statistical disclosure control research. This paper explores some consequences of this paradigm by establishing some class of universal measures of disclosure risk and information loss that can be used for the evaluation and comparison of any method on most data, under any parametrization and independently of the characteristics of the data to be anonymized. These measures lead to the introduction in data anonymization of the concepts of dominance in disclosure risk and information loss, which formalize the fact that different parties involved in micro data transaction can all have different sensitivities to privacy and information. Enthalten in Elsevier Science Inc Petrruzziello, Carmelina ELSEVIER Mo1264 Clinical Characteristics of Inflammatory Bowel Disease May Influence the Cancer Risk When Using Immunomodulators: Incident Cases of Cancer in a Multicenter Case-Control Study 2013 an international journal New York, NY (DE-627)ELV011843691 volume:430 year:2018 pages:620-633 extent:14 https://doi.org/10.1016/j.ins.2017.10.048 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 35.70 Biochemie: Allgemeines VZ 42.12 Biophysik VZ 42.15 Zellbiologie VZ AR 430 2018 620-633 14 |
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10.1016/j.ins.2017.10.048 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001217.pica (DE-627)ELV041672925 (ELSEVIER)S0020-0255(16)31197-5 DE-627 ger DE-627 rakwb eng 610 VZ 570 VZ BIODIV DE-30 fid 35.70 bkl 42.12 bkl 42.15 bkl Ruiz, Nicolas verfasserin aut On some consequences of the permutation paradigm for data anonymization: Centrality of permutation matrices, universal measures of disclosure risk and information loss, evaluation by dominance 2018transfer abstract 14 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Recently, the permutation paradigm has been proposed in data anonymization to describe any micro data masking method as permutation, paving the way for performing meaningful analytical comparisons of methods, something that is difficult currently in statistical disclosure control research. This paper explores some consequences of this paradigm by establishing some class of universal measures of disclosure risk and information loss that can be used for the evaluation and comparison of any method on most data, under any parametrization and independently of the characteristics of the data to be anonymized. These measures lead to the introduction in data anonymization of the concepts of dominance in disclosure risk and information loss, which formalize the fact that different parties involved in micro data transaction can all have different sensitivities to privacy and information. Recently, the permutation paradigm has been proposed in data anonymization to describe any micro data masking method as permutation, paving the way for performing meaningful analytical comparisons of methods, something that is difficult currently in statistical disclosure control research. This paper explores some consequences of this paradigm by establishing some class of universal measures of disclosure risk and information loss that can be used for the evaluation and comparison of any method on most data, under any parametrization and independently of the characteristics of the data to be anonymized. These measures lead to the introduction in data anonymization of the concepts of dominance in disclosure risk and information loss, which formalize the fact that different parties involved in micro data transaction can all have different sensitivities to privacy and information. Enthalten in Elsevier Science Inc Petrruzziello, Carmelina ELSEVIER Mo1264 Clinical Characteristics of Inflammatory Bowel Disease May Influence the Cancer Risk When Using Immunomodulators: Incident Cases of Cancer in a Multicenter Case-Control Study 2013 an international journal New York, NY (DE-627)ELV011843691 volume:430 year:2018 pages:620-633 extent:14 https://doi.org/10.1016/j.ins.2017.10.048 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 35.70 Biochemie: Allgemeines VZ 42.12 Biophysik VZ 42.15 Zellbiologie VZ AR 430 2018 620-633 14 |
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10.1016/j.ins.2017.10.048 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001217.pica (DE-627)ELV041672925 (ELSEVIER)S0020-0255(16)31197-5 DE-627 ger DE-627 rakwb eng 610 VZ 570 VZ BIODIV DE-30 fid 35.70 bkl 42.12 bkl 42.15 bkl Ruiz, Nicolas verfasserin aut On some consequences of the permutation paradigm for data anonymization: Centrality of permutation matrices, universal measures of disclosure risk and information loss, evaluation by dominance 2018transfer abstract 14 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Recently, the permutation paradigm has been proposed in data anonymization to describe any micro data masking method as permutation, paving the way for performing meaningful analytical comparisons of methods, something that is difficult currently in statistical disclosure control research. This paper explores some consequences of this paradigm by establishing some class of universal measures of disclosure risk and information loss that can be used for the evaluation and comparison of any method on most data, under any parametrization and independently of the characteristics of the data to be anonymized. These measures lead to the introduction in data anonymization of the concepts of dominance in disclosure risk and information loss, which formalize the fact that different parties involved in micro data transaction can all have different sensitivities to privacy and information. Recently, the permutation paradigm has been proposed in data anonymization to describe any micro data masking method as permutation, paving the way for performing meaningful analytical comparisons of methods, something that is difficult currently in statistical disclosure control research. This paper explores some consequences of this paradigm by establishing some class of universal measures of disclosure risk and information loss that can be used for the evaluation and comparison of any method on most data, under any parametrization and independently of the characteristics of the data to be anonymized. These measures lead to the introduction in data anonymization of the concepts of dominance in disclosure risk and information loss, which formalize the fact that different parties involved in micro data transaction can all have different sensitivities to privacy and information. Enthalten in Elsevier Science Inc Petrruzziello, Carmelina ELSEVIER Mo1264 Clinical Characteristics of Inflammatory Bowel Disease May Influence the Cancer Risk When Using Immunomodulators: Incident Cases of Cancer in a Multicenter Case-Control Study 2013 an international journal New York, NY (DE-627)ELV011843691 volume:430 year:2018 pages:620-633 extent:14 https://doi.org/10.1016/j.ins.2017.10.048 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 35.70 Biochemie: Allgemeines VZ 42.12 Biophysik VZ 42.15 Zellbiologie VZ AR 430 2018 620-633 14 |
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Enthalten in Mo1264 Clinical Characteristics of Inflammatory Bowel Disease May Influence the Cancer Risk When Using Immunomodulators: Incident Cases of Cancer in a Multicenter Case-Control Study New York, NY volume:430 year:2018 pages:620-633 extent:14 |
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Mo1264 Clinical Characteristics of Inflammatory Bowel Disease May Influence the Cancer Risk When Using Immunomodulators: Incident Cases of Cancer in a Multicenter Case-Control Study |
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On some consequences of the permutation paradigm for data anonymization: Centrality of permutation matrices, universal measures of disclosure risk and information loss, evaluation by dominance |
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On some consequences of the permutation paradigm for data anonymization: Centrality of permutation matrices, universal measures of disclosure risk and information loss, evaluation by dominance |
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Ruiz, Nicolas |
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Mo1264 Clinical Characteristics of Inflammatory Bowel Disease May Influence the Cancer Risk When Using Immunomodulators: Incident Cases of Cancer in a Multicenter Case-Control Study |
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Mo1264 Clinical Characteristics of Inflammatory Bowel Disease May Influence the Cancer Risk When Using Immunomodulators: Incident Cases of Cancer in a Multicenter Case-Control Study |
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2018 |
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Ruiz, Nicolas |
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Elektronische Aufsätze |
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Ruiz, Nicolas |
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10.1016/j.ins.2017.10.048 |
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610 570 |
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on some consequences of the permutation paradigm for data anonymization: centrality of permutation matrices, universal measures of disclosure risk and information loss, evaluation by dominance |
| title_auth |
On some consequences of the permutation paradigm for data anonymization: Centrality of permutation matrices, universal measures of disclosure risk and information loss, evaluation by dominance |
| abstract |
Recently, the permutation paradigm has been proposed in data anonymization to describe any micro data masking method as permutation, paving the way for performing meaningful analytical comparisons of methods, something that is difficult currently in statistical disclosure control research. This paper explores some consequences of this paradigm by establishing some class of universal measures of disclosure risk and information loss that can be used for the evaluation and comparison of any method on most data, under any parametrization and independently of the characteristics of the data to be anonymized. These measures lead to the introduction in data anonymization of the concepts of dominance in disclosure risk and information loss, which formalize the fact that different parties involved in micro data transaction can all have different sensitivities to privacy and information. |
| abstractGer |
Recently, the permutation paradigm has been proposed in data anonymization to describe any micro data masking method as permutation, paving the way for performing meaningful analytical comparisons of methods, something that is difficult currently in statistical disclosure control research. This paper explores some consequences of this paradigm by establishing some class of universal measures of disclosure risk and information loss that can be used for the evaluation and comparison of any method on most data, under any parametrization and independently of the characteristics of the data to be anonymized. These measures lead to the introduction in data anonymization of the concepts of dominance in disclosure risk and information loss, which formalize the fact that different parties involved in micro data transaction can all have different sensitivities to privacy and information. |
| abstract_unstemmed |
Recently, the permutation paradigm has been proposed in data anonymization to describe any micro data masking method as permutation, paving the way for performing meaningful analytical comparisons of methods, something that is difficult currently in statistical disclosure control research. This paper explores some consequences of this paradigm by establishing some class of universal measures of disclosure risk and information loss that can be used for the evaluation and comparison of any method on most data, under any parametrization and independently of the characteristics of the data to be anonymized. These measures lead to the introduction in data anonymization of the concepts of dominance in disclosure risk and information loss, which formalize the fact that different parties involved in micro data transaction can all have different sensitivities to privacy and information. |
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| title_short |
On some consequences of the permutation paradigm for data anonymization: Centrality of permutation matrices, universal measures of disclosure risk and information loss, evaluation by dominance |
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https://doi.org/10.1016/j.ins.2017.10.048 |
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