Privacy and accuracy systems on financial databases

Bilgen, Adna
A statistical database is a collection of data which contains the sensitive information of individuals. They are extensively used for many purposes. Since the system contains sensitive data of individuals, it must be secure to protect every individual in the data set against attackers. In this thesis, we especially work on the privacy of databases which include financial data. We use data perturbation techniques to work the accuracy and privacy balance between the original database and the perturbed one. We test the accuracy of our masked data on selected statistics. We measure the reliability of our system against existing attack techniques. We develop user-friendly software to use data sanitization by using Java and R programming languages.


Efficient computation of strong partial transitive-closures
Toroslu, İsmail Hakkı (null; 1993-01-01)
The development of efficient algorithms to process the different forms of the transitive-closure (TC) queries within the context of large database systems has recently attracted a large volume of research efforts. In this paper, we present a new algorithm suitable for processing one of these forms, the so called strong partially-instantiated, in which one of the query's argument is instantiated to a set of constants and the processing of which yields a set of tuples that draw their values form both of the q...
Uncertainty in a nested relational database model
Yazıcı, Adnan; Buckles, BP; Petry, FE (1999-07-01)
Some database models have already been developed to deal with complex values but they have constrains that data stored is precise and queries are crisp. However, as many researchers have pointed out, there is a need to present, manipulate, and query complex and uncertain data of various non-traditional database applications such as oceanography, multimedia, meteorology, office automation systems, engineering designs, expert database systems and geographic information systems. In this paper, we present a log...
Privacy preserving database external layer construction algorithm via secure decomposition for attribute-based security policies
Turan, Uğur; Toroslu, İsmail Hakkı; Kantarcıoğlu, Murat; Department of Computer Engineering (2018)
Relational DBMS’scontinue to dominate th emarket an dinference problem on external schema has preserved its importance in terms of data privacy. Especially for the last 10 years, external schema construction for application-specific database usage has increased its independency from the conceptual schema, as the definitions and implementations of views and procedures have been optimized. After defining all mathematical background, this work offers an optimized decomposition strategy for the external schema, wh...
Secure logical schema and decomposition algorithm for proactive context dependent attribute based inference control
Turan, Ugur; Toroslu, İsmail Hakkı; Kantarcioglu, Murat (2017-09-01)
Inference problem has always been an important and challenging topic of data privacy in databases. In relational databases, the traditional solution to this problem was to define views on relational schemas to restrict the subset of attributes and operations available to the users in order to prevent unwanted inferences. This method is a form of decomposition strategy, which mainly concentrates on the granularity of the accessible fields to the users, to prevent sensitive information inference. Nowadays, du...
Fuzzy data representation and querying in XML database
Ustunkaya, Ekin; Yazıcı, Adnan; George, Roy (2007-02-01)
Real-world information including subjective opinions and judgments need imprecise data to be modeled for representation and querying in databases. The Extensible Markup Language (XML) has become a de-facto standard for data modeling and exchange in recent years. Efforts on modeling imprecision and representing such data in XML have not been fully developed. In this paper, an XML based fuzzy data representation and querying system is presented. Complex and imprecise data are represented using a fuzzy extensi...
Citation Formats
A. Bilgen, “Privacy and accuracy systems on financial databases,” Thesis (Ph.D.) -- Graduate School of Natural and Applied Sciences. Mathematics., Middle East Technical University, 2019.