Privacy-preserving is one of the most important challenges in a computer world, because of the huge amount of sensitive information on the internet. The paper contains several privacy preservation techniques for data publishing in the real world. There are several privacy attacks are associate but among of them mainly two attacks are record linkage and attribute linkage. Many scientists have pr...

Abstract With growing concern of data privacy violations, preservation processes become more intense. The k -anonymity method, a widely applied technique, transforms the such that publishing datasets must have at least tuples to same link-able attribute, quasi-identifiers, values. From observations, we found that, in certain domain, all quasi-identifiers datasets, can type. This type attribute ...

Permissionless blockchain, as a kind of distributed ledger, has gained considerable attention because its openness, transparency, decentralization, and immutability. Currently, permissionless blockchain shown good application prospect in many fields, from the initial cryptocurrency to Internet Things (IoT) Vehicular Ad-Hoc Networking (VANET), which is considered beginning rewriting our digital ...

This report documents the program and the outcomes of Dagstuhl Seminar 13062 “Decentralized Systems for Privacy Preservation”. In recent years, a number of concerns have risen about the existence of large, organizationally centralized online services (cloud services, online social networks, repositories, etc). The concerns include risks to users’ data from organizational failures and threats to...

Many databases will or can not be disclosed without strong guarantees that no sensitive information can be extracted. To address this concern several data perturbation techniques have been proposed. However, it has been shown that either sensitive information can still be extracted from the perturbed data with little prior knowledge, or that many patterns are lost. In this paper we show that ge...