Crypto-Covid: Privacy challenges in BlockChain and Contact Tracing

Abstract

One of the most urgent problems in the digital world is the problem of data privacy. In addition to the philosophical, legal and economic aspects of privacy, there is a need to study the technological aspect of privacy which is mainly based on mathematical models. We first analyze the development of mathematical models of privacy, as a continuation of research from [7]. We start with initial models for data privacy, like k-anonimity [8], l-diversity [6] and t-closeness [5]. We continue with more advanced models, like differential privacy [2], contextual integrity [1] and inverse privacy [4]. We then focus on the relationship between mathematical models of privacy and blockchain technology, considering two directions - privacy in blockchain and blockchain in privacy [9]. Finally, we explore digital contact tracing applications which became a very significant topic during the COVID-19 pandemic. We point out the problems in the functioning of these applications and present our solution for overcoming the problem of their interconnection through distributed overlay networks such as Chord and Synapse. The results of this research can be found in [3].