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  • Search: subject:"Data masking"
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Year of publication
Subject
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Data masking 5 R&D 2 SIMEX 2 errors-in-variables 2 local polynomial regression 2 measurement error 2 mixture distribution 2 Data leakage 1 Data protection 1 De-identification 1 Framework 1 camouflage 1 confidentiality 1 data masking 1 data swapping 1 obfuscation 1 perturbation 1 privacy 1
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Online availability
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Undetermined 6
Type of publication
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Article 6
Type of publication (narrower categories)
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research-article 3
Language
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Undetermined 3 German 2 English 1
Author
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Lechner, Sandra 2 Pohlmeier, Winfried 2 Ronning, Gerd 2 Chen, Feng 1 Cope, Jacqueline 1 Janicke, Helge 1 Maglaras, Leandros 1 Muralidhar, Krishnamurty 1 Sarathy, Rathindra 1 Siewe, Francois 1
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Published in...
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Jahrbücher für Nationalökonomie und Statistik 2 Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik) 2 Information & Computer Security 1 Management Science 1
Source
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RePEc 3 Other ZBW resources 3
Showing 1 - 6 of 6
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On data leakage from non-production systems
Cope, Jacqueline; Siewe, Francois; Chen, Feng; … - In: Information & Computer Security 25 (2017) 4, pp. 454-474
Purpose This study is an exploration of areas pertaining to the use of production data in non-production environments. During the software development life cycle, non-production environments are used to serve various purposes to include unit, component, integration, system, user acceptance,...
Persistent link: https://www.econbiz.de/10014754658
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Measuring Research Intensity from Anonymized Data: Does Multiplicative Noise with Factor Structure Save Results Regarding Quotients?
Ronning, Gerd - In: Jahrbücher für Nationalökonomie und Statistik 228 (2008) 5-6, pp. 644-653
Summary Economic researchers often consider quotients like R&D investment divided by sales which could be used to measure "research intensity" of firms if available. However, data on research in particular are highly confidential and would not be released in original form. Therefore scientific...
Persistent link: https://www.econbiz.de/10014609215
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Measuring Research Intensity from Anonymized Data: Does Multiplicative Noise with Factor Structure Save Results Regarding Quotients?
Ronning, Gerd - In: Journal of Economics and Statistics (Jahrbuecher fuer … 228 (2008) 5+6, pp. 644-653
Economic researchers often consider quotients like R&D investment divided by sales which could be used to measure “research intensity” of firms if available. However, data on research in particular are highly confidential and would not be released in original form. Therefore scientific use...
Persistent link: https://www.econbiz.de/10008596464
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Data Shuffling--A New Masking Approach for Numerical Data
Muralidhar, Krishnamurty; Sarathy, Rathindra - In: Management Science 52 (2006) 5, pp. 658-670
This study discusses a new procedure for masking confidential numerical data--a procedure called data shuffling--in which the values of the confidential variables are "shuffled" among observations. The shuffled data provides a high level of data utility and minimizes the risk of disclosure. From...
Persistent link: https://www.econbiz.de/10009197508
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Data Masking by Noise Addition and the Estimation of Nonparametric Regression Models
Lechner, Sandra; Pohlmeier, Winfried - In: Jahrbücher für Nationalökonomie und Statistik 225 (2005) 5, pp. 517-528
Summary Data collecting institutions use a large range of masking procedures in order to protect data against disclosure. Generally, a masking procedure can be regarded as a kind of data filter that transforms the true data generating process. Such a transformation severely affects the quality...
Persistent link: https://www.econbiz.de/10014609064
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Data Masking by Noise Addition and the Estimation of Nonparametric Regression Models
Lechner, Sandra; Pohlmeier, Winfried - In: Journal of Economics and Statistics (Jahrbuecher fuer … 225 (2005) 5, pp. 517-528
Data collecting institutions use a large range of masking procedures in order to protect data against disclosure. Generally, a masking procedure can be regarded as a kind of data filter that transforms the true data generating process. Such a transformation severely affects the quality of the...
Persistent link: https://www.econbiz.de/10005837629
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