The shift of DarkNet illegal drug trade preferences in cryptocurrency: The question of traceability and deterrence (2024)

Bahamazava, K. (2022). The shift of DarkNet illegal drug trade preferences in cryptocurrency: The question of traceability and deterrence. Forensic Science International: Digital Investigation, 40, 1-9. Article 301377. https://doi.org/10.1016/j.fsidi.2022.301377

Bahamazava, Katsiaryna ; Nanda, Rohan. / The shift of DarkNet illegal drug trade preferences in cryptocurrency: The question of traceability and deterrence. In: Forensic Science International: Digital Investigation. 2022 ; Vol. 40. pp. 1-9.

@article{919ff43b2d4e4de6a969a37e6c4a5dfb,

title = "The shift of DarkNet illegal drug trade preferences in cryptocurrency: The question of traceability and deterrence",

abstract = "DarkNet markets (DNMs) are flourishing, exploiting cryptocurrencies' pseudo-anonymity feature. To fight the illegal drug trade, it is necessary to understand the factors influencing choices made by DNM consumers. ClearNet forums facilitate interactions among new and experienced DarkNet users, thus serving as an ideal source for investigation and research. The methodology of temporal topic models and sentiment analysis were applied to the ClearNet forum data to explore DNM new drug users{\textquoteright} behavior over time. We inspected the development of major topics from the forum over eight years (2012–19) period to study the evolution in motivations and challenges faced by DNM users. The extracted temporal topic models successfully captured the apparent dynamics of critical events in the crypto world, showing the shift from Bitcoin to Monero. Our analysis demonstrates that the Bitcoin traceability announcement (made public in 2015) did not have a deterrent effect on the usage of Bitcoin, and this declaration instead acted as an advertisem*nt for DNMs. Drug buyers used Bitcoin despite its traceability until Monero became untraceable in 2017 due to its privacy update.",

keywords = "DarkNet markets, Temporal topic modeling, Sentiment analysis, Natural language processing, Drugs, Bitcoin, Monero, DNM",

author = "Katsiaryna Bahamazava and Rohan Nanda",

year = "2022",

month = mar,

doi = "10.1016/j.fsidi.2022.301377",

language = "English",

volume = "40",

pages = "1--9",

journal = "Forensic Science International: Digital Investigation",

issn = "2666-2817",

publisher = "ELSEVIER SCI LTD",

}

Bahamazava, K 2022, 'The shift of DarkNet illegal drug trade preferences in cryptocurrency: The question of traceability and deterrence', Forensic Science International: Digital Investigation, vol. 40, 301377, pp. 1-9. https://doi.org/10.1016/j.fsidi.2022.301377

The shift of DarkNet illegal drug trade preferences in cryptocurrency: The question of traceability and deterrence. / Bahamazava, Katsiaryna; Nanda, Rohan.
In: Forensic Science International: Digital Investigation, Vol. 40, 301377, 03.2022, p. 1-9.

Research output: Contribution to journal › Article › Academic › peer-review

TY - JOUR

T1 - The shift of DarkNet illegal drug trade preferences in cryptocurrency: The question of traceability and deterrence

AU - Bahamazava, Katsiaryna

AU - Nanda, Rohan

PY - 2022/3

Y1 - 2022/3

N2 - DarkNet markets (DNMs) are flourishing, exploiting cryptocurrencies' pseudo-anonymity feature. To fight the illegal drug trade, it is necessary to understand the factors influencing choices made by DNM consumers. ClearNet forums facilitate interactions among new and experienced DarkNet users, thus serving as an ideal source for investigation and research. The methodology of temporal topic models and sentiment analysis were applied to the ClearNet forum data to explore DNM new drug users’ behavior over time. We inspected the development of major topics from the forum over eight years (2012–19) period to study the evolution in motivations and challenges faced by DNM users. The extracted temporal topic models successfully captured the apparent dynamics of critical events in the crypto world, showing the shift from Bitcoin to Monero. Our analysis demonstrates that the Bitcoin traceability announcement (made public in 2015) did not have a deterrent effect on the usage of Bitcoin, and this declaration instead acted as an advertisem*nt for DNMs. Drug buyers used Bitcoin despite its traceability until Monero became untraceable in 2017 due to its privacy update.

AB - DarkNet markets (DNMs) are flourishing, exploiting cryptocurrencies' pseudo-anonymity feature. To fight the illegal drug trade, it is necessary to understand the factors influencing choices made by DNM consumers. ClearNet forums facilitate interactions among new and experienced DarkNet users, thus serving as an ideal source for investigation and research. The methodology of temporal topic models and sentiment analysis were applied to the ClearNet forum data to explore DNM new drug users’ behavior over time. We inspected the development of major topics from the forum over eight years (2012–19) period to study the evolution in motivations and challenges faced by DNM users. The extracted temporal topic models successfully captured the apparent dynamics of critical events in the crypto world, showing the shift from Bitcoin to Monero. Our analysis demonstrates that the Bitcoin traceability announcement (made public in 2015) did not have a deterrent effect on the usage of Bitcoin, and this declaration instead acted as an advertisem*nt for DNMs. Drug buyers used Bitcoin despite its traceability until Monero became untraceable in 2017 due to its privacy update.

KW - DarkNet markets

KW - Temporal topic modeling

KW - Sentiment analysis

KW - Natural language processing

KW - Drugs

KW - Bitcoin

KW - Monero

KW - DNM

U2 - 10.1016/j.fsidi.2022.301377

DO - 10.1016/j.fsidi.2022.301377

M3 - Article

SN - 2666-2817

VL - 40

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JO - Forensic Science International: Digital Investigation

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Bahamazava K, Nanda R. The shift of DarkNet illegal drug trade preferences in cryptocurrency: The question of traceability and deterrence. Forensic Science International: Digital Investigation. 2022 Mar;40:1-9. 301377. Epub 2022 Mar. doi: 10.1016/j.fsidi.2022.301377