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Description
Third-party mixers are used to heighten the anonymity of Bitcoin users. The mixing techniques implemented by these tools are often untraceable on the blockchain, making them appealing to money launderers. This research aims to analyze mixers currently available on the deep web. In addition, an in-depth case study is done on an open-source bitcoin mixer known as Penguin Mixer. A local version of Penguin Mixer was used to visualize mixer behavior under specific scenarios. This study could lead to the identification of vulnerabilities in mixing tools and detection of these tools on the blockchain.
Date Created
2018-12
Contributors
- Pakki, Jaswant (Author)
- Doupe, Adam (Thesis director)
- Shoshitaishvili, Yan (Committee member)
- Computer Science and Engineering Program (Contributor, Contributor)
- Barrett, The Honors College (Contributor)
Topical Subject
Resource Type
Extent
32 pages
Language
Copyright Statement
In Copyright
Primary Member of
Series
Academic Year 2018-2019
Handle
https://hdl.handle.net/2286/R.I.50972
Level of coding
minimal
Cataloging Standards
System Created
- 2018-11-15 11:42:36
System Modified
- 2021-08-11 04:09:57
- 1 year 9 months ago
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