Detailed data collection of individuals is a fundamental requirement for profound statistical analysis of a complex system as the health care system of Switzerland. The aim of this report is to model a privacy-preserving data collection system, to analyze an already proposed implementation and to develop a new proposal giving highest security.

This paper studies maximality and totality of stable functions in the category of stable bifinite domains. We present three main results: (1) every maximum-preserving function is a maximal element in the stable function spaces; (2) a maximal stable function f : D → E is maximumpreserving if D is maximum-separable and E is completely separable; and (3) a stable bifinite domain D is maximum-separ...

Ling Guo. Randomization Based Privacy Preserving Categorical Data Analysis. Under the direction of Dr. Xintao Wu The success of data mining relies on the availability of high quality data. To ensure quality data mining, effective information sharing between organizations becomes a vital requirement in today’s society. Since data mining often involves sensitive information of individuals, the pu...

There is a tremendous increase in the research of data mining. Data mining is the process of extraction of data from large database. Knowledge Discovery in database (KDD) is another name of data mining. Privacy protection has become a necessary requirement in many data mining applications due to emerging privacy legislation and regulations. One of the most important topics in research community...

The problem of secure distributed classification is an important one. In many situations, data is split between multiple organizations. These organizations may want to utilize all of the data to create more accurate predictive models while revealing neither their training data / databases nor the instances to be classified. The Naive Bayes Classifier is a simple but efficient baseline classifie...

Privacy-preserving data mining (PPDM) refers to the area of data mining that seeks to safeguard sensitive information from unsolicited or unsanctioned disclosure. Most traditional data mining techniques analyze and model the data set statistically, in aggregation, while privacy preservation is primarily concerned with protecting against disclosure individual data records. This domain separation...

The entrance of Cd (II) to aqueous environments causes a major problem to human health. The current article examines the efficiency of TiO2 and γ-Al2O3 nanoparticles in Cd (II) removal from aqueous medium as influenced by different chemical factors, such as pH, initial concentration, background electrolyte, and ionic strength, in accordance with standard experimental methods. It conducts Batch ...