SoK: The next phase of identifying illicit activity in Bitcoin

J Nicholls, A Kuppa, NA Le-Khac - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Identifying illicit behavior in the Bitcoin network is a well explored topic. The methods
proposed over time have generated great insights into the deanonymization of the Bitcoin …

The next phase of identifying illicit activity in Bitcoin

J Nicholls, A Kuppa, NA Le‐Khac - International Journal of …, 2024 - Wiley Online Library
Identifying illicit behavior in the Bitcoin network is a well‐explored topic. The methods
proposed over time have generated great insights into the deanonymization of the Bitcoin …

A supervised model to detect suspicious activities in the bitcoin network

KG Al-Hashedi, P Magalingam, N Maarop… - … and Intelligent Systems, 2022 - Springer
Shortly after its official launch in 2009, Bitcoin has gained rapid popularity worldwide, which
in return attracted a variety of people especially malicious attackers, who get the advantage …

Improving cryptocurrency crime detection: Coinjoin community detection approach

A Wahrstätter, J Gomes, S Khan… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The potential of Bitcoin for money laundering and terrorist financing represents a significant
challenge in law enforcement. In recent years, the use of privacy-improving CoinJoin …

[PDF][PDF] Unsupervised approaches to detecting anomalous behavior in the bitcoin transaction network

J Hirshman, Y Huang, S Macke - Technical report, Stanford …, 2013 - cs229.stanford.edu
Bitcoin is an electronic crypto-currency created in 2008 by Satoshi Nakamoto (pseudonym).
At the time the original bitcoin client was written, the idea of a purely peer-to-peer (P2P) …

A conceptual model to identify illegal activities on the bitcoin system

KG Al-Hashedi, P Magalingam, N Maarop… - … on Advances in Cyber …, 2021 - Springer
Soon after its inception in 2009, Bitcoin was used as a tool by malicious attackers who
exploit its pseudo-anonymity to establish untraceable frauds. Recently, several Bitcoin users …

Bitcoin transactions: a digital discovery of illicit activity on the blockchain

A Turner, ASM Irwin - Journal of Financial Crime, 2018 - emerald.com
Purpose The purpose of this paper is to determine if Bitcoin transactions could be de-
anonymised by analysing the Bitcoin blockchain and transactions conducted through the …

Toward detecting illegal transactions on bitcoin using machine-learning methods

C Lee, S Maharjan, K Ko, JWK Hong - Blockchain and Trustworthy …, 2020 - Springer
As an emergent electronic payment system, Bitcoin has attracted attention for its desirable
features such as disintermediation, decentralization, and tamper-proof recording of data …

Illicit Bitcoin transactions: challenges in getting to the who, what, when and where

ASM Irwin, AB Turner - Journal of money laundering control, 2018 - emerald.com
Purpose The purpose of this paper is to highlight the intelligence and investigatory
challenges experienced by law enforcement agencies in discovering the identity of illicit …

Detecting illicit entities in bitcoin using supervised learning of ensemble decision trees

P Nerurkar, Y Busnel, R Ludinard, K Shah… - proceedings of the 10th …, 2020 - dl.acm.org
Since its inception in 2009, Bitcoin has been mired in controversies for providing a haven for
illegal activities. Several types of illicit users hide behind the blanket of anonymity …