Diffusion: Analysis of Many-to-Many Transactions in Bitcoin

Dylan Eck; Adam Torek; Steven Cutchin; Gaby G. Dagher

Diffusion: Analysis of Many-to-Many Transactions in Bitcoin

Dylan Eck, Adam Torek, Steven Cutchin, Gaby G. Dagher

Computer Science Department

Research output: Chapter in Book/Report/Conference proceeding › Chapter

2 Scopus citations

Original language	American English
Title of host publication	2021 IEEE International Conference on Blockchain (Blockchain)
State	Published - 1 Jan 2021

Keywords

blockchain
Bitcoin
taint analysis
CoinJoin
cryptocurrencies
peer-to-peer computing

EGS Disciplines

Computer Sciences

Access to Document

https://doi.org/10.1109/Blockchain53845.2021.00061

Cite this

@inbook{ef093aa08d5749bf8696d06005b1eaf2,

title = "Diffusion: Analysis of Many-to-Many Transactions in Bitcoin",

keywords = "blockchain, Bitcoin, taint analysis, CoinJoin, cryptocurrencies, peer-to-peer computing",

author = "Dylan Eck and Adam Torek and Steven Cutchin and Dagher, {Gaby G.}",

year = "2021",

month = jan,

day = "1",

language = "American English",

booktitle = "2021 IEEE International Conference on Blockchain (Blockchain)",

}

TY - CHAP

T1 - Diffusion: Analysis of Many-to-Many Transactions in Bitcoin

AU - Eck, Dylan

AU - Torek, Adam

AU - Cutchin, Steven

AU - Dagher, Gaby G.

PY - 2021/1/1

Y1 - 2021/1/1

KW - blockchain

KW - Bitcoin

KW - taint analysis

KW - CoinJoin

KW - cryptocurrencies

KW - peer-to-peer computing

UR - https://scholarworks.boisestate.edu/cs_facpubs/333

UR - https://doi.org/10.1109/Blockchain53845.2021.00061

M3 - Chapter

BT - 2021 IEEE International Conference on Blockchain (Blockchain)

ER -

Diffusion: Analysis of Many-to-Many Transactions in Bitcoin

Keywords

EGS Disciplines

Access to Document

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