Although privacy is generally considered to be the right of an individual or group to control
information about themselves, such a right has become challenging to protect in the digital …

Companies such as Google or Facebook collect a substantial amount of data about their
users to provide useful services. The release of these datasets for general use can enable …

In several applications, data mining play vital role in a distributed database scheme. In this
scenario misuse of data may exist. But sometimes, data owners may be related to such …

While previous chapters provide a thorough description on differential privacy and presents
several applications in reality, many interesting and promising issues remain unexplored …

Over the past decade, the collection of data by individuals, businesses and government
agencies has increased tremendously. Due to the widespread of mobile computing and the …

Security and privacy methods are used to protect the data values. Private data values are
secured with confidentiality and integrity methods. Privacy model hides the individual …

Context: Data Mining (DM) method has been evolving year by year and as of today there is
also the enhancement of DM technique that can be run several times faster than the …

In recent years, an increasing amount of data is collected in different and often, not
cooperative, databases. The problem of privacy-preserving, distributed calculations over …

To securely give person-exact fragile data from two data providers, whereby the mutual data
maintains the necessary information for behind data mining tasks. Secured information …

Data mining is the process of extracting hidden predictive information from large databases
to support decision making process. There may be a chance of revealing sensitive …