Authors: Stefanović, Tamara
Ghilezan, Silvia 
Kašterović, Simona
Affiliations: Mathematics 
Mathematical Institute of the Serbian Academy of Sciences and Arts 
Title: Crypto-Covid: Privacy challenges in BlockChain and Contact Tracing
First page: 47
Last page: 48
Related Publication(s): Book of Abstracts
Conference: 11th International Conference Logic and Applications, LAP 2022, September 26 - 29, 2022, Dubrovnik, Croatia
Issue Date: 2022
Rank: M34
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].
Keywords: Data Privacy | Blockchain | Contact Tracing
Publisher: University Center Dubrovnik, Croatia
Project: Advanced artificial intelligence techniques for analysis and design of system components based on trustworthy BlockChain technology - AI4TrustBC 

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