Futuristic invisibility for user identity and data protection
John Carlo Quadrando, Cézar Teixeirao, Lois Fronzeco, Paulo Ezcudeiro · International Research Journal of Management IT and Social Sciences · 2019
In this research survey analysis, we tried to introduce an all-inclusive study analyzing futuristic Invisibility of user Identity and data protection researches in cryptocurrencies. It has been classified into 2 main classes: Researches analyzing Invisibility of user Identity and Concealment, and studies proposing improvements in Invisibility of user Identity and Concealment. The first category deals with the disclosure of information through the use of de-anonymization. We inspected and determined classification for 35 types of research in this class and obtained 11 methods and 7 results from those researches. The motive of the researches is mainly to discover de-anonymization methodologies and get details which compromise Concealment, such as exploring cryptocurrency’s addresses, identifying individuality, matching cryptocurrency addresses to IP addresses, connecting cryptocurrency’s addresses to geographical-location coordinate. Our examination shows that the analytical survey of Blockchain comprises most researches in this class and there are some analytical researches.