Bibliography (183):

  1. ​ Darknet Market Archives (2013–2015)

  2. ​ ‘DNMs’ directory

  3. ​ ‘DNM Archives (files)’ directory

  4. ​ Darknet Market Archives (2013–2015)

  5. Dnmarchives Directory Listing

  6. A replication and methodological critique of the study ‘Evaluating drug trafficking on the Tor Network’

  7. Covering Cracks in Content Moderation: Delexicalized Distant Supervision for Illicit Drug Jargon Detection

  8. Status Spill-Over in Cryptomarket for Illegal Goods

  9. LSTM and BERT based transformers models for cyber threat intelligence for intent identification of social media platforms exploitation from darknet forums

  10. Network Structure and Trust Formation in Cryptomarkets Based on Reputation

  11. Social influence in the darknet market: The impact of product descriptions on cocaine sales

  12. The dark web privacy dilemma: linguistic diversity, talkativeness, and user engagement on the cryptomarket forums

  13. Drug Name Recognition in the Cryptomarket Forum of Silk Road 2

  14. Towards Safe Cyber Practices: Developing a Proactive Cyber-Threat Intelligence System for Dark Web Forum Content by Identifying Cybercrimes

  15. VendorLink: An NLP approach for Identifying & Linking Vendor Migrants & Potential Aliases on Darknet Markets

  16. "Can We Detect Substance Use Disorder?": Knowledge and Time Aware Classification on Social Media from Darkweb

  17. Trust intermediary in a cryptomarket for illegal drugs

  18. S.U.S. You’re SUS!—Identifying influencer hackers on dark web social networks

  19. Keeping Pace With the Evolution of Illicit Darknet Fentanyl Markets: Using a Mixed Methods Approach to Identify Trust Signals and Develop a Vendor Trustworthiness Index

  20. The Influence Of Technological Factors On Dark Web Marketplace Closure

  21. How Search Technology Breeds Illegal Transactions: Empirical Evidence from the Darknet

  22. NBC-Softmax: Darkweb Author fingerprinting and migration tracking

  23. Counterfeits on Darknet Markets: A measurement between Jan-2014 and Sep-2015

  24. Are Illicit Drugs a Driving Force for Cryptomarket Leadership?

  25. Drugs on the Web, Crime in the Streets. The Impact of Shutdowns of Dark Net Marketplaces on Street Crime

  26. The SECI model and darknet markets: Knowledge creation in criminal organizations and communities of practice

  27. VeriDark: A Large-Scale Benchmark for Authorship Verification on the Dark Web

  28. Automatic User Profiling in Darknet Markets: a Scalability Study

  29. How darknet market users learned to worry more and love PGP: Analysis of security advice on darknet marketplaces

  30. Price Formation of Illicit Drugs on Dark Web Marketplaces

  31. Tracking Discourse Influence in Darknet Forums

  32. Macroscopic properties of buyer-seller networks in online marketplaces

  33. AMoC: A Multifaceted Machine Learning-based Toolkit for Analysing Cybercriminal Communities on the Darknet

  34. Tokyo, Denver, Helsinki, Lisbon or the Professor? A Framework for Understanding Cybercriminal Roles in Darknet Markets

  35. DreamDrug—A crowdsourced NER dataset for detecting drugs in darknet markets

  36. One Flew Over the Cuckoo’s Clock: Selling Exclusivity Through Conspicuous Goods on Evolution

  37. Drug Listing Dataset: Drug Listing Dataset from Several Darknet Marketplaces [CSV Mirror]

  38. Get Rich or Keep Tryin': Trajectories in dark net market vendor careers

  39. An Unsupervised Model for Identifying and Characterizing Dark Web Forums

  40. Dealings on the Dark Web: An Examination of the Trust, Consumer Satisfaction, and the Efficacy of Interventions Against a Dark Web Cryptomarket

  41. The Impact of Adverse Events in Darknet Markets: an Anomaly Detection Approach

  42. Decriminalization of Cannabis; the effects on the drug market via the dark web

  43. Relationship Between Vendor Popularity and Prices on Dark Web Marketplaces

  44. Exploring Transfer Learning techniques for Named Entity Recognition in Noisy User-Generated Text

  45. Classifying Illegal Advertisements on the Darknet Using NLP

  46. Shocks to production risk and supply responses: Evidence from darknet data

  47. SYSML: StYlometry with Structure and Multitask Learning: Implications for Darknet Forum Migrant Analysis

  48. Demystifying the Dark Web Opioid Trade: Content Analysis on Anonymous Market Listings and Forum Posts

  49. Cryptomarket Forums: Self-advertisement and rumors on Silk Road

  50. pyDNetTopic: A Framework for Uncovering What Darknet Market Users Talking About

  51. dStyle-GAN: Generative Adversarial Network based on Writing and Photography Styles for Drug Identification in Darknet Markets

  52. Information Extraction from Darknet Market Advertisements and Forums

  53. Analysis of Darknet Market Activity as a Country-Specific, Socio-Economic and Technological Phenomenon

  54. Believe it when you see it: Dyadic embeddedness and reputation effects on trust in cryptomarkets for illegal drugs

  55. Using computational techniques to study social influence online

  56. How to Not Get Caught When You Launder Money on Blockchain?

  57. Drugs on the Web, Crime in the Streets: The impact of Dark Web marketplaces on street crime

  58. Pricing of illicit drugs on darknet markets: a conceptual exploration

  59. Behavioral Profiling of Darknet Marketplace Vendors

  60. Dark Vendor Profiling

  61. Shedding Light on the Dark: The Impact of Legal Enforcement on Darknet Transactions

  62. Open Secrecy: How Police Crackdowns and Creative Problem-Solving Brought Illegal Markets out of the Shadows

  63. Towards Image-Based Dark Vendor Profiling: An Analysis of Image Metadata and Image Hashing in Dark Web Marketplaces

  64. The Ransomware-as-a-Service Economy within the Darknet

  65. Reputation transferability across contexts: Maintaining cooperation among anonymous cryptomarket actors when moving between markets

  66. Machine Learning Techniques for the Classification of Product Descriptions from Darknet Marketplaces

  67. From Darknets to Light

  68. The War On Drugs 2.0: Darknet Fentanyl’s Rise And The Effects Of Regulatory And Law Enforcement Action

  69. On the Resilience of the Dark Net Market Ecosystem to Law Enforcement Intervention

  70. Identifying High-Impact Opioid Products and Key Sellers in Dark Net Marketplaces: An Interpretable Text Analytics Approach

  71. A Qualitative Evaluation of Two Different Law Enforcement Approaches on Dark Net Markets

  72. Cyber-All-Intel: An AI for Security related Threat Intelligence

  73. Knowledge for Cyber Threat Intelligence

  74. Your Style Your Identity: Leveraging Writing and Photography Styles for Drug Trafficker Identification in Darknet Markets over Attributed Heterogeneous Information Network

  75. Making Sense of Darknet Markets: Automatic Inference of Semantic Classifications from Unconventional Multimedia Datasets

  76. Entrepreneurs on the Darknet: Reaction to Negative Feedback

  77. Forensic drug intelligence and the rise of cryptomarkets. Part II: Combination of data from the physical and virtual markets

  78. Cybercrime Economy: A Netnographic Study on the Dark Net Ecosystem for Ransomware

  79. Offline constraints in online drug marketplaces: An exploratory analysis of a cryptomarket trade network

  80. Measuring the Demand Effects of Formal and Informal Communication: Evidence from Online Markets for Illicit Drugs

  81. Instantly Hooked? Freebies and Samples of Opioids, Cannabis, MDMA, and Other Drugs in an Illicit E-Commerce Market

  82. ‘I know this whole market is based on the trust you put in me and I don’t take that lightly’: Trust, community and discourse in crypto-drug markets

  83. Thinking, Fast and Slow: Combining Vector Spaces and Knowledge Graphs

  84. A geographical analysis of trafficking on a popular darknet market

  85. The Effects of Police Interventions on Darknet Market Drug Prices

  86. An Exploratory Investigation into the Darknet Marketplace Discussion Forum Agora

  87. Application of Stylometry to Dark Web Forum User Identification

  88. Buying drugs on a Darknet market: A better deal? Studying the online illicit drug market through the analysis of digital, physical and chemical data

  89. Ethics in cryptomarket research

  90. Mixing politics and crime—The prevalence and decline of political discourse on the cryptomarket

  91. Do Police Crackdowns Disrupt Drug Cryptomarkets? A Longitudinal Analysis of the Effects of Operation Onymous

  92. Personal Use, Social Supply or Redistribution? Cryptomarket Demand on Silk Road 2 and Agora

  93. A Deep Analysis of the Law Enforcement Impact on the DarkMarkets

  94. 818b9adebb036c24f029f66b1040c0141433a231.html#about

  95. Dark Net Market Archives, 2011–2015

  96. Data Sprint WS 14 Sep 2016

  97. 072764ffd7f4a7cd81e75b7a80ec607caf7cf4ce.html

  98. All the Analysis on the Impact of Operation Onymous on Agora Is Available Here: Https://ada-2019.github.io/Project/#about

  99. Jacquelinegarrahan/silk-Road-Author-Identification: EECE5644 Final Project Documentation. Applies LSTM and RNN Neural Networks to Authorship Classification in Dark Web Marketplaces Using Twitter GloVe Vector Representaions.

  100. The Database Currently Contains ~400,000 Listings from Two of the Largest Darknet Markets, Silkroad2 (Now Shut Down) and Hydra (One of the Largest Markets, Primarily Servicing the Former USSR). Data from Dreammarket Will Be Added Soon.

  101. Illuminating the Dark Web. Searching for Geotags in Dark Net

  102. Small Potent Doses of Illegal Drugs Are Evading Authorities but Having a Huge Impact

  103. 81ff7a66379bc3ce442e8ae795327f8e43da88d2.html

  104. Dark Web Drug Dealer Selling Super Strength Ketamine Substitute Jailed

  105. Med Posten Som Distribusjonsåre Har Organiserte Norske Nettverk I Årevis Spydd Ut Kilovis Med Dop Til Nordmenn Fra Skjulte Sider På Det Mørke Nettet. Identiteten Deres Beskyttes Av Avansert Teknologi. De Har Operert I Fred for Politiet. De Tror De Er Usynlige.

  106. 1ccc619b564ff4557a413968b8444674f5f028c9.html

  107. Liam Lyburd, from Newcastle, Was Today Sentenced to Life in Prison for Buying a Gun, Gas Canisters, and Pipe Bomb Materials from the Dark Web With Intent to Shoot Students at His Former College. BuzzFeed News Follows the Trail and Asks Whether Someone in Future Might Succeed Where He Failed.

  108. Shedding Light on the Dark Web

  109. Drug Listing Dataset

  110. Dark Net Marketplace Data (Agora 2014–2015)

  111. Internet-Facilitated Drugs Trade: An Analysis of the Size, Scope and the Role of the Netherlands

  112. Availability of Datasets for Digital Forensics—And What Is Missing

  113. You Can Now Download a Copy of Pretty Much Every Dark Web Market Ever Made

  114. How Drug Listings on the Dark Net May Have Revealed Sellers’ Locations

  115. ​ design#future-tag-features

    [Transclude the forward-link's context]

  116. 2018-cherqi.pdf

  117. 2017-02-12-thetimes-darknetdealersdraggedintothelight.html

  118. 2017-moeller.pdf

  119. http://atechdad.com/Deanonymizing-Darknet-Data/

  120. bec38701aaac30625f43d5235a0d324121f3373f.html

  121. http://fusion.net/story/168035/theres-a-searchable-cache-of-the-webs-darkest-corners-of-the-anonymous-internet/

  122. d97f9b22bf65cf446844090bfeeccf09bbda1fe8.html

  123. http://jacquelinegarrahan.com/docs/dark_web_authorship.pdf

  124. 448b03890222e7a5673ed51bbdf9ed02a3959441.pdf

  125. http://ryancompton.net/2015/03/24/darknet-market-basket-analysis/

  126. 032fed897fed75107977f64e2977bfc84d1a9db7.html

  127. http://www.cs.ucf.edu/~czou/research/D-miner-CNS2017.pdf

  128. 2838a0b676b5130e8b7d416dfb8a9cecd16b321b.pdf

  129. http://www.csl.sri.com/users/gehani/papers/KDD-2017.Onions.pdf

  130. cab543f5acea87bf7b5ec91704c1a2641159b615.pdf

  131. http://www.smallake.kr/wp-content/uploads/2018/01/SSRN-id3102645.pdf

  132. 69248c110fb078325ae228129d863beaae3bb3f0.pdf

  133. https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1041&context=amcis2017#pdf

  134. a8f8e6c1deecefa2828c9ef210ab43292e40ae86.pdf

  135. https://blog.munhou.com/2021/09/29/Drug-Listing-Dataset/

  136. https://cs229.stanford.edu/proj2015/184_report.pdf

  137. https://darkdata.illinois.edu/

  138. https://dspace.cvut.cz/bitstream/handle/10467/79794/F8-DP-2018-Smrz-Josef-thesis.pdf?sequence=-1

  139. b48223ebdaeab583dbad713dd0243872c3bcd821.pdf

  140. https://github.com/munhouiani/Drug-Listings-Dataset

  141. https://github.com/rcompton/black-market-recommender-systems

  142. https://hcommons.org/deposits/objects/hc:20220/datastreams/CONTENT/content?download=true#pdf

  143. 36f230792aab56c5d54e05bd6e3ccebc979699fe.pdf

  144. https://news.ycombinator.com/item?id=9894570

  145. 1148a16774781c34f3df59ce37029d3d2113e31d.html

  146. https://people.cs.vt.edu/gangwang/Wang_X_T_2018.pdf

  147. 6934c0a0e34994c1eba68ca76e1d5f1e94b823cb.pdf

  148. https://people.cs.vt.edu/gangwang/asiaccs18.pdf

  149. 5c9ddc0601204716bde8b0c963cd547b9a5f5205.pdf

  150. https://qz.com/466273/what-illegal-drugs-cost-on-the-dark-web/

  151. https://studenttheses.universiteitleiden.nl/access/item%3A2608213/view

  152. 61259c921d43bd23203595cbe75902d58ad6114d.pdf

  153. https://web.stanford.edu/~larmona/Armona_InformalCommDarknet.pdf

  154. 7ac6950d4eac22a61344d45b3a72788dc335348c.pdf

  155. https://www.aaai.org/ocs/index.php/WS/AAAIW17/paper/viewFile/15205/14661

  156. 827edac23090c61664348e9554b18844dc1eaa89.pdf

  157. https://www.amazon.com/Weaving-Dark-Web-Legitimacy-Information/dp/0262038269

  158. https://www.cl.cam.ac.uk/~sp849/files/2018-crimebb.pdf

  159. f828fcc2a44af639661840ca24c15b32359b851f.pdf

  160. https://www.diva-portal.org/smash/get/diva2:1178768/FULLTEXT01.pdf

  161. 83d357f187820617ea4cfe00581a387e9654be1b.pdf

  162. https://www.emcdda.europa.eu/system/files/publications/6585/TD0417834ENN.pdf

  163. be60b96a32c23d4b0222635e37a6182603c69265.pdf

  164. https://www.reddit.com/r/Bitcoin/comments/3dh824/15_tb_of_dark_net_market_scrapes_released_online/

  165. 00504bb3a29090943846e30acbff3a4375b6b730.html

  166. https://www.reddit.com/r/Buttcoin/comments/3dhz9f/gwern_has_released_15tb_of_darknet_market_screen/

  167. 55a93b28558b4ef21de29004881059993502f5d3.html

  168. https://www.reddit.com/r/DarkNetMarkets/comments/3dfq8s/dark_net_market_archives_20112015/

  169. https://www.reddit.com/r/DarkNetMarkets/comments/3dtcrl/vicemotherboard_published_an_article_about_gwens/

  170. https://www.reddit.com/r/SilkRoad/comments/3a2xqp/sr1_sales_data_6_feb_2011_2_oct_2013/

  171. 928d19a8e9195e568be2551d23044682dba79ea5.html

  172. https://www.rsm.nl/fileadmin/Images_NEW/Departments/TOM/Calis_Thijmen_Thesis.pdf

  173. ffa90539a52b6ccbc7734737575452a533bd6f58.pdf

  174. https://www.sciencedirect.com/science/article/pii/S0379073817303341

  175. https://www.swansea.ac.uk/media/Hard-Interventions-and-Innovation-in-CryptoDrug-Markets-The-escrow-example.pdf

  176. 3d19e084c01aa6fd7d9e25533a4c272ba87841d3.pdf

  177. https://www.thestar.com/vancouver/2018/07/05/bc-lays-claim-to-14-million-us-in-bitcoin-from-drug-dealer-over-alleged-links-to-silk-road.html

  178. 4c7cee35f359a7e5c995838ac0ab282ad9d11cb2.html

  179. https://www.usenix.org/system/files/conference/usenixsecurity18/sec18-yuan_0.pdf

  180. eda0ea9ae098924e778112e8d241679ec648edaf.pdf

  181. Cryptomarket Forums: Self-advertisement and rumors on Silk Road

  182. %252Fdoc%252Fdarknet-market%252Fsilk-road%252F1%252F2021-klomp.pdf.html

  183. Wikipedia Bibliography:

    1. Kaggle