Search Results - subject:"data perturbation"

Managing privacy of sensitive attributes using fuzzy-based data transformation methods in privacy preserving data mining environment

Saxena, V. K.; Pushkar, Shashank - In: International journal of business information systems : … 31 (2019) 2, pp. 249-164

Persistent link: https://www.econbiz.de/10012117968

Perturbed decomposition algorithm applied to the multi-objective traveling salesman problem

Cornu, Marek; Cazenave, Tristan; Vanderpooten, Daniel - In: Computers & operations research : and their … 79 (2017), pp. 314-330

Persistent link: https://www.econbiz.de/10011673547

De-Identification of Unstructured Textual Data using Artificial Immune System for Privacy Preserving

Hamou, Reda Mohamed; Amine, Abdelmalek; Boudia, Mohamed … - In: International Journal of Decision Support System … 8 (2016) 4, pp. 34-49

The development of new technologies has led the world into a tipping point. One of these technologies is the big data which made the revolution of computer sciences. Big data has come with new challenges. These challenges can be resumed in the aim of creating scalable and efficient services that...

Persistent link: https://www.econbiz.de/10012044122

Combination of Access Control and De-Identification for Privacy Preserving in Big Data

Rahmani, Amine; Amine, Abdelmalek; Hamou, Reda Mohamed - In: International Journal of Information Security and … 10 (2016) 1, pp. 1-27

Despite of its emergence and advantages in various domains, big data still suffers from major disadvantages. Timeless, scalability, and privacy are the main problems that hinder the advance of big data. Privacy preserving has become a wide search era within the scientific community. This paper...

Persistent link: https://www.econbiz.de/10012045669

Microdata Disclosure by Resampling: Empirical Findings for Business Survey Data

Gottschalk, Sandra - 2003

A problem statistical offices and research institutes are faced with by releasing micro-data is the preservation of confidentiality. Traditional methods to avoid disclosure often destroy the structure of data, i.e., information loss is potentially high. In this paper I discuss an alternative...

Persistent link: https://www.econbiz.de/10010297305

Microdata Disclosure by Resampling: Empirical Findings for Business Survey Data

Gottschalk, Sandra - Zentrum für Europäische Wirtschaftsforschung (ZEW) - 2003

Persistent link: https://www.econbiz.de/10005098378

Perturbing Nonnormal Confidential Attributes: The Copula Approach

Sarathy, Rathindra; Muralidhar, Krishnamurty; Parsa, Rahul - In: Management Science 48 (2002) 12, pp. 1613-1627

. The methodology presented in this study represents a signicant step toward improving the practical applicability of data … perturbation methods. …

Persistent link: https://www.econbiz.de/10009191283

A General Additive Data Perturbation Method for Database Security

Muralidhar, Krishnamurty; Parsa, Rahul; Sarathy, Rathindra - In: Management Science 45 (1999) 10, pp. 1399-1415

, and the desire to protect confidential data. Data perturbation methods are often used to protect confidential, numerical … (General Additive Data Perturbation) that does not change relationships between attributes. All existing methods of additive … data perturbation are shown to be special cases of this method. When the database has a multivariate normal distribution …

Persistent link: https://www.econbiz.de/10009214531

Accessibility, Security, and Accuracy in Statistical Databases: The Case for the Multiplicative Fixed Data Perturbation Approach

Muralidhar, Krishnamurty; Batra, Dinesh; Kirs, Peeter J. - In: Management Science 41 (1995) 9, pp. 1549-1564

security mechanisms reveals that fixed data perturbation is preferred because it maximizes both security and accessibility. An … investigation of the different approaches to fixed data perturbation indicates that multiplicative method best meets these criteria. …

Persistent link: https://www.econbiz.de/10009214433