Abstract
While blockchain technologies leverage compelling characteristics in terms of decentralization, immutability and transparency, user privacy in public blockchains remains a fundamental challenge that requires a particular attention. This is mainly due to the history of all transactions being accessible and available to anyone, thus making it possible for an attacker to infer data about users that is supposed to remain private. In this paper, we provide a threat model of possible privacy attacks to users utilizing the Bitcoin blockchain. To this endeavor, we followed LINDDUN GO methodology to identify threats, and suggest possible mitigations.
Original language | English |
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Publication status | Published - 1 Aug 2022 |
Event | Workshop on Privacy Threat Modeling - Boston, United States Duration: 7 Aug 2022 → … https://www.usenix.org/conference/soups2022/call-for-workshops-submissions#wptm |
Seminar/Workshop
Seminar/Workshop | Workshop on Privacy Threat Modeling |
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Abbreviated title | WPTM 2022 |
Country/Territory | United States |
City | Boston |
Period | 7/08/22 → … |
Internet address |
Austrian Fields of Science 2012
- 102016 IT security
- 102015 Information systems