- See Also
- Gwern
-
Links
- “Social Influence in the Darknet Market: The Impact of Product Descriptions on Cocaine Sales”, Andrei & Veltri 2024
- “The Dark Web Privacy Dilemma: Linguistic Diversity, Talkativeness, and User Engagement on the Cryptomarket Forums”, Chen et al 2023
- “Drug Name Recognition in the Cryptomarket Forum of Silk Road 2”, Werner et al 2023
- “Towards Safe Cyber Practices: Developing a Proactive Cyber-Threat Intelligence System for Dark Web Forum Content by Identifying Cybercrimes”, Sangher et al 2023
- “VendorLink: An NLP Approach for Identifying & Linking Vendor Migrants & Potential Aliases on Darknet Markets”, Saxena et al 2023
- “"Can We Detect Substance Use Disorder?": Knowledge and Time Aware Classification on Social Media from Darkweb”, Lokala et al 2023
- “Trust Intermediary in a Cryptomarket for Illegal Drugs”, Andrei et al 2023
- “S.U.S. You’re SUS!—Identifying Influencer Hackers on Dark Web Social Networks”, Paracha et al 2023
- “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”, Maras et al 2023
- “The Influence Of Technological Factors On Dark Web Marketplace Closure”, Kyobe & Damon 2023
- “How Search Technology Breeds Illegal Transactions: Empirical Evidence from the Darknet”, Lu et al 2022
- “NBC-Softmax: Darkweb Author Fingerprinting and Migration Tracking”, Kulatilleke et al 2022
- “Counterfeits on Darknet Markets: A Measurement between Jan-2014 and Sep-2015”, Soldner et al 2022
- “Are Illicit Drugs a Driving Force for Cryptomarket Leadership?”, Hiramoto & Tsuchiya 2022
- “Drugs on the Web, Crime in the Streets. The Impact of Shutdowns of Dark Net Marketplaces on Street Crime”, Zambiasi 2022
- “The SECI Model and Darknet Markets: Knowledge Creation in Criminal Organizations and Communities of Practice”, Maras et al 2022
- “VeriDark: A Large-Scale Benchmark for Authorship Verification on the Dark Web”, Manolache et al 2022
- “Automatic User Profiling in Darknet Markets: a Scalability Study”, Peersman et al 2022
- “How Darknet Market Users Learned to Worry More and Love PGP: Analysis of Security Advice on Darknet Marketplaces”, Dwyer et al 2022
- “Price Formation of Illicit Drugs on Dark Web Marketplaces”, Horck 2022
- “Tracking Discourse Influence in Darknet Forums”, Akiki et al 2022
- “Macroscopic Properties of Buyer-Seller Networks in Online Marketplaces”, Bracci et al 2021
- “AMoC: A Multifaceted Machine Learning-Based Toolkit for Analysing Cybercriminal Communities on the Darknet”, Chen et al 2021b
- “Tokyo, Denver, Helsinki, Lisbon or the Professor? A Framework for Understanding Cybercriminal Roles in Darknet Markets”, Peersman et al 2021
- “DreamDrug—A Crowdsourced NER Dataset for Detecting Drugs in Darknet Markets”, Bogensperger et al 2021b
- “One Flew Over the Cuckoo’s Clock: Selling Exclusivity Through Conspicuous Goods on Evolution”, Oosterman & Angelini 2021
- “Get Rich or Keep Tryin': Trajectories in Dark Net Market Vendor Careers”, Booij et al 2021
- “An Unsupervised Model for Identifying and Characterizing Dark Web Forums”, Nazah et al 2021
- “Dealings on the Dark Web: An Examination of the Trust, Consumer Satisfaction, and the Efficacy of Interventions Against a Dark Web Cryptomarket”, Harinam 2021
- “The Impact of Adverse Events in Darknet Markets: an Anomaly Detection Approach”, Ursani et al 2021
- “Decriminalization of Cannabis; the Effects on the Drug Market via the Dark Web”, Boekhoudt 2021
- “Relationship Between Vendor Popularity and Prices on Dark Web Marketplaces”, Aņikevičs 2021
- “Exploring Transfer Learning Techniques for Named Entity Recognition in Noisy User-Generated Text”, Bogensperger 2021
- “Classifying Illegal Advertisements on the Darknet Using NLP”, Shah 2021
- “Shocks to Production Risk and Supply Responses: Evidence from Darknet Data”, Artner 2021
- “SYSML: StYlometry With Structure and Multitask Learning: Implications for Darknet Forum Migrant Analysis”, Maneriker et al 2021
- “Demystifying the Dark Web Opioid Trade: Content Analysis on Anonymous Market Listings and Forum Posts”, Li et al 2021
- “Cryptomarket Forums: Self-Advertisement and Rumors on Silk Road”, Klomp 2021
- “PyDNetTopic: A Framework for Uncovering What Darknet Market Users Talking About”, Yang et al 2020b
- “DStyle-GAN: Generative Adversarial Network Based on Writing and Photography Styles for Drug Identification in Darknet Markets”, Zhang et al 2020
- “Information Extraction from Darknet Market Advertisements and Forums”, Heistracher et al 2020b
- “Analysis of Darknet Market Activity As a Country-Specific, Socio-Economic and Technological Phenomenon”, Sutanrikulu et al 2020
- “Believe It When You See It: Dyadic Embeddedness and Reputation Effects on Trust in Cryptomarkets for Illegal Drugs”, Norbutas et al 2020
- “Using Computational Techniques to Study Social Influence Online”, Cork et al 2020
- “How to Not Get Caught When You Launder Money on Blockchain?”, Akcora et al 2020
- “Drugs on the Web, Crime in the Streets: The Impact of Dark Web Marketplaces on Street Crime”, Zambiasi 2020
- “Pricing of Illicit Drugs on Darknet Markets: a Conceptual Exploration”, Zaunseder & Bancroft 2020
- “Behavioral Profiling of Darknet Marketplace Vendors”, Shan 2020
- “Dark Vendor Profiling”, Jeziorowski 2020b
- “Shedding Light on the Dark: The Impact of Legal Enforcement on Darknet Transactions”, Chan et al 2020
- “Open Secrecy: How Police Crackdowns and Creative Problem-Solving Brought Illegal Markets out of the Shadows”, Ladegaard 2020
- “Towards Image-Based Dark Vendor Profiling: An Analysis of Image Metadata and Image Hashing in Dark Web Marketplaces”, Jeziorowski et al 2020
- “The Ransomware-As-A-Service Economy within the Darknet”, Meland et al 2020
- “Reputation Transferability across Contexts: Maintaining Cooperation among Anonymous Cryptomarket Actors When Moving between Markets”, Norbutas et al 2020
- “Machine Learning Techniques for the Classification of Product Descriptions from Darknet Marketplaces”, Heistracher et al 2020
- “Crawling and Analysis of Dark Network Data”, yang et al 2020c
- “From Darknets to Light”, Vana & Pachigolla 2019
- “The War On Drugs 2.0: Darknet Fentanyl’s Rise And The Effects Of Regulatory And Law Enforcement Action”, Miller 2019
- “On the Resilience of the Dark Net Market Ecosystem to Law Enforcement Intervention”, Bradley 2019
- “Identifying High-Impact Opioid Products and Key Sellers in Dark Net Marketplaces: An Interpretable Text Analytics Approach”, Du et al 2019
- “A Qualitative Evaluation of Two Different Law Enforcement Approaches on Dark Net Markets”, Bradley & Stringhini 2019
- “Cyber-All-Intel: An AI for Security Related Threat Intelligence”, Mittal et al 2019
- “Making Sense of Darknet Markets: Automatic Inference of Semantic Classifications from Unconventional Multimedia Datasets”, Berman & Paul 2019
- “Knowledge for Cyber Threat Intelligence”, Mittal 2019
- “Your Style Your Identity: Leveraging Writing and Photography Styles for Drug Trafficker Identification in Darknet Markets over Attributed Heterogeneous Information Network”, Zhang et al 2019c
- “Entrepreneurs on the Darknet: Reaction to Negative Feedback”, Batikas & Kretschmer 2018
- “Forensic Drug Intelligence and the Rise of Cryptomarkets. Part II: Combination of Data from the Physical and Virtual Markets”, Morelato et al 2018
- “Cybercrime Economy: A Netnographic Study on the Dark Net Ecosystem for Ransomware”, Bayoumy 2018
- “Measuring the Demand Effects of Formal and Informal Communication: Evidence from Online Markets for Illicit Drugs”, Armona 2018
- “Instantly Hooked? Freebies and Samples of Opioids, Cannabis, MDMA, and Other Drugs in an Illicit E-Commerce Market”, Ladegaard 2018
- “‘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”, Lorenzo-Dus & Cristofaro 2018
- “Thinking, Fast and Slow: Combining Vector Spaces and Knowledge Graphs”, Mittal et al 2017
- “A Geographical Analysis of Trafficking on a Popular Darknet Market”, Broséus et al 2017
- “The Effects of Police Interventions on Darknet Market Drug Prices”, Hull 2017
- “An Exploratory Investigation into the Darknet Marketplace Discussion Forum Agora”, Luo 2017
- “Application of Stylometry to Dark Web Forum User Identification”, Ho & Ng 2016
- “Buying Drugs on a Darknet Market: A Better Deal? Studying the Online Illicit Drug Market through the Analysis of Digital, Physical and Chemical Data”, Rhumorbarbe et al 2016
- “Ethics in Cryptomarket Research”, Martin & Christin 2016b
- “Mixing Politics and Crime—The Prevalence and Decline of Political Discourse on the Cryptomarket”, Munksgaard & Demant 2016b
- “A Replication and Methodological Critique of the Study ‘Evaluating Drug Trafficking on the Tor Network’”, Munksgaard et al 2016
- “Do Police Crackdowns Disrupt Drug Cryptomarkets? A Longitudinal Analysis of the Effects of Operation Onymous”, Décary-Hétu & Giommoni 2016
- “Personal Use, Social Supply or Redistribution? Cryptomarket Demand on Silk Road 2 and Agora”, Demant et al 2016
- “A Deep Analysis of the Law Enforcement Impact on the DarkMarkets”
- “Dark Net Market Archives, 2011-2015”
- “Data Sprint WS 14 Sep 2016”
- “All the Analysis on the Impact of Operation Onymous on Agora Is Available Here: Https://ada-2019.github.io/Project/#about”
- “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.”
- “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.”
- “Illuminating the Dark Web. Searching for Geotags in Dark Net”
- “Small Potent Doses of Illegal Drugs Are Evading Authorities but Having a Huge Impact”
- “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.”
- “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.”
- “Shedding Light on the Dark Web”
- “Drug Listing Dataset”
- “Dark Net Marketplace Data (Agora 2014-2015)”
- “Internet-Facilitated Drugs Trade: An Analysis of the Size, Scope and the Role of the Netherlands”
- “Offline Constraints in Online Drug Marketplaces: An Exploratory Analysis of a Cryptomarket Trade Network”
- “Availability of Datasets for Digital Forensics - And What Is Missing”
- “You Can Now Download a Copy of Pretty Much Every Dark Web Market Ever Made”
- “How Drug Listings on the Dark Net May Have Revealed Sellers' Locations”
- Sort By Magic
- Wikipedia
- Miscellaneous
- Link Bibliography
See Also
Gwern
“Darknet Market Archives (2013–2015)”, Gwern 2013
“Dnmarchives Directory Listing”, Gwern 2015
dnmarchives directory listing:
View External Link:
Links
“Social Influence in the Darknet Market: The Impact of Product Descriptions on Cocaine Sales”, Andrei & Veltri 2024
Social influence in the darknet market: The impact of product descriptions on cocaine sales
“The Dark Web Privacy Dilemma: Linguistic Diversity, Talkativeness, and User Engagement on the Cryptomarket Forums”, Chen et al 2023
“Drug Name Recognition in the Cryptomarket Forum of Silk Road 2”, Werner et al 2023
Drug Name Recognition in the Cryptomarket Forum of Silk Road 2
“Towards Safe Cyber Practices: Developing a Proactive Cyber-Threat Intelligence System for Dark Web Forum Content by Identifying Cybercrimes”, Sangher et al 2023
“VendorLink: An NLP Approach for Identifying & Linking Vendor Migrants & Potential Aliases on Darknet Markets”, Saxena et al 2023
“"Can We Detect Substance Use Disorder?": Knowledge and Time Aware Classification on Social Media from Darkweb”, Lokala et al 2023
“Trust Intermediary in a Cryptomarket for Illegal Drugs”, Andrei et al 2023
“S.U.S. You’re SUS!—Identifying Influencer Hackers on Dark Web Social Networks”, Paracha et al 2023
S.U.S. You’re SUS!—Identifying influencer hackers on dark web social networks
“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”, Maras et al 2023
“The Influence Of Technological Factors On Dark Web Marketplace Closure”, Kyobe & Damon 2023
The Influence Of Technological Factors On Dark Web Marketplace Closure
“How Search Technology Breeds Illegal Transactions: Empirical Evidence from the Darknet”, Lu et al 2022
How Search Technology Breeds Illegal Transactions: Empirical Evidence from the Darknet
“NBC-Softmax: Darkweb Author Fingerprinting and Migration Tracking”, Kulatilleke et al 2022
NBC-Softmax: Darkweb Author fingerprinting and migration tracking
“Counterfeits on Darknet Markets: A Measurement between Jan-2014 and Sep-2015”, Soldner et al 2022
Counterfeits on Darknet Markets: A measurement between Jan-2014 and Sep-2015
“Are Illicit Drugs a Driving Force for Cryptomarket Leadership?”, Hiramoto & Tsuchiya 2022
Are Illicit Drugs a Driving Force for Cryptomarket Leadership?
“Drugs on the Web, Crime in the Streets. The Impact of Shutdowns of Dark Net Marketplaces on Street Crime”, Zambiasi 2022
“The SECI Model and Darknet Markets: Knowledge Creation in Criminal Organizations and Communities of Practice”, Maras et al 2022
“VeriDark: A Large-Scale Benchmark for Authorship Verification on the Dark Web”, Manolache et al 2022
VeriDark: A Large-Scale Benchmark for Authorship Verification on the Dark Web
“Automatic User Profiling in Darknet Markets: a Scalability Study”, Peersman et al 2022
Automatic User Profiling in Darknet Markets: a Scalability Study
“How Darknet Market Users Learned to Worry More and Love PGP: Analysis of Security Advice on Darknet Marketplaces”, Dwyer et al 2022
“Price Formation of Illicit Drugs on Dark Web Marketplaces”, Horck 2022
“Tracking Discourse Influence in Darknet Forums”, Akiki et al 2022
“Macroscopic Properties of Buyer-Seller Networks in Online Marketplaces”, Bracci et al 2021
Macroscopic properties of buyer-seller networks in online marketplaces
“AMoC: A Multifaceted Machine Learning-Based Toolkit for Analysing Cybercriminal Communities on the Darknet”, Chen et al 2021b
“Tokyo, Denver, Helsinki, Lisbon or the Professor? A Framework for Understanding Cybercriminal Roles in Darknet Markets”, Peersman et al 2021
“DreamDrug—A Crowdsourced NER Dataset for Detecting Drugs in Darknet Markets”, Bogensperger et al 2021b
DreamDrug—A crowdsourced NER dataset for detecting drugs in darknet markets
“One Flew Over the Cuckoo’s Clock: Selling Exclusivity Through Conspicuous Goods on Evolution”, Oosterman & Angelini 2021
One Flew Over the Cuckoo’s Clock: Selling Exclusivity Through Conspicuous Goods on Evolution
“Get Rich or Keep Tryin': Trajectories in Dark Net Market Vendor Careers”, Booij et al 2021
Get Rich or Keep Tryin': Trajectories in dark net market vendor careers
“An Unsupervised Model for Identifying and Characterizing Dark Web Forums”, Nazah et al 2021
An Unsupervised Model for Identifying and Characterizing Dark Web Forums
“Dealings on the Dark Web: An Examination of the Trust, Consumer Satisfaction, and the Efficacy of Interventions Against a Dark Web Cryptomarket”, Harinam 2021
“The Impact of Adverse Events in Darknet Markets: an Anomaly Detection Approach”, Ursani et al 2021
The Impact of Adverse Events in Darknet Markets: an Anomaly Detection Approach
“Decriminalization of Cannabis; the Effects on the Drug Market via the Dark Web”, Boekhoudt 2021
Decriminalization of Cannabis; the effects on the drug market via the dark web
“Relationship Between Vendor Popularity and Prices on Dark Web Marketplaces”, Aņikevičs 2021
Relationship Between Vendor Popularity and Prices on Dark Web Marketplaces
“Exploring Transfer Learning Techniques for Named Entity Recognition in Noisy User-Generated Text”, Bogensperger 2021
Exploring Transfer Learning techniques for Named Entity Recognition in Noisy User-Generated Text
“Classifying Illegal Advertisements on the Darknet Using NLP”, Shah 2021
“Shocks to Production Risk and Supply Responses: Evidence from Darknet Data”, Artner 2021
Shocks to production risk and supply responses: Evidence from darknet data
“SYSML: StYlometry With Structure and Multitask Learning: Implications for Darknet Forum Migrant Analysis”, Maneriker et al 2021
“Demystifying the Dark Web Opioid Trade: Content Analysis on Anonymous Market Listings and Forum Posts”, Li et al 2021
“Cryptomarket Forums: Self-Advertisement and Rumors on Silk Road”, Klomp 2021
Cryptomarket Forums: Self-advertisement and rumors on Silk Road
“PyDNetTopic: A Framework for Uncovering What Darknet Market Users Talking About”, Yang et al 2020b
pyDNetTopic: A Framework for Uncovering What Darknet Market Users Talking About
“DStyle-GAN: Generative Adversarial Network Based on Writing and Photography Styles for Drug Identification in Darknet Markets”, Zhang et al 2020
“Information Extraction from Darknet Market Advertisements and Forums”, Heistracher et al 2020b
Information Extraction from Darknet Market Advertisements and Forums
“Analysis of Darknet Market Activity As a Country-Specific, Socio-Economic and Technological Phenomenon”, Sutanrikulu et al 2020
“Believe It When You See It: Dyadic Embeddedness and Reputation Effects on Trust in Cryptomarkets for Illegal Drugs”, Norbutas et al 2020
“Using Computational Techniques to Study Social Influence Online”, Cork et al 2020
Using computational techniques to study social influence online
“How to Not Get Caught When You Launder Money on Blockchain?”, Akcora et al 2020
“Drugs on the Web, Crime in the Streets: The Impact of Dark Web Marketplaces on Street Crime”, Zambiasi 2020
Drugs on the Web, Crime in the Streets: The impact of Dark Web marketplaces on street crime
“Pricing of Illicit Drugs on Darknet Markets: a Conceptual Exploration”, Zaunseder & Bancroft 2020
Pricing of illicit drugs on darknet markets: a conceptual exploration
“Behavioral Profiling of Darknet Marketplace Vendors”, Shan 2020
“Dark Vendor Profiling”, Jeziorowski 2020b
“Shedding Light on the Dark: The Impact of Legal Enforcement on Darknet Transactions”, Chan et al 2020
Shedding Light on the Dark: The Impact of Legal Enforcement on Darknet Transactions
“Open Secrecy: How Police Crackdowns and Creative Problem-Solving Brought Illegal Markets out of the Shadows”, Ladegaard 2020
“Towards Image-Based Dark Vendor Profiling: An Analysis of Image Metadata and Image Hashing in Dark Web Marketplaces”, Jeziorowski et al 2020
“The Ransomware-As-A-Service Economy within the Darknet”, Meland et al 2020
“Reputation Transferability across Contexts: Maintaining Cooperation among Anonymous Cryptomarket Actors When Moving between Markets”, Norbutas et al 2020
“Machine Learning Techniques for the Classification of Product Descriptions from Darknet Marketplaces”, Heistracher et al 2020
Machine Learning Techniques for the Classification of Product Descriptions from Darknet Marketplaces
“Crawling and Analysis of Dark Network Data”, yang et al 2020c
“From Darknets to Light”, Vana & Pachigolla 2019
“The War On Drugs 2.0: Darknet Fentanyl’s Rise And The Effects Of Regulatory And Law Enforcement Action”, Miller 2019
“On the Resilience of the Dark Net Market Ecosystem to Law Enforcement Intervention”, Bradley 2019
On the Resilience of the Dark Net Market Ecosystem to Law Enforcement Intervention
“Identifying High-Impact Opioid Products and Key Sellers in Dark Net Marketplaces: An Interpretable Text Analytics Approach”, Du et al 2019
“A Qualitative Evaluation of Two Different Law Enforcement Approaches on Dark Net Markets”, Bradley & Stringhini 2019
A Qualitative Evaluation of Two Different Law Enforcement Approaches on Dark Net Markets
“Cyber-All-Intel: An AI for Security Related Threat Intelligence”, Mittal et al 2019
Cyber-All-Intel: An AI for Security related Threat Intelligence
“Making Sense of Darknet Markets: Automatic Inference of Semantic Classifications from Unconventional Multimedia Datasets”, Berman & Paul 2019
View PDF (26MB):
“Knowledge for Cyber Threat Intelligence”, Mittal 2019
Knowledge for Cyber Threat Intelligence:
View PDF:
“Your Style Your Identity: Leveraging Writing and Photography Styles for Drug Trafficker Identification in Darknet Markets over Attributed Heterogeneous Information Network”, Zhang et al 2019c
View PDF:
“Entrepreneurs on the Darknet: Reaction to Negative Feedback”, Batikas & Kretschmer 2018
“Forensic Drug Intelligence and the Rise of Cryptomarkets. Part II: Combination of Data from the Physical and Virtual Markets”, Morelato et al 2018
“Cybercrime Economy: A Netnographic Study on the Dark Net Ecosystem for Ransomware”, Bayoumy 2018
Cybercrime Economy: A Netnographic Study on the Dark Net Ecosystem for Ransomware
“Measuring the Demand Effects of Formal and Informal Communication: Evidence from Online Markets for Illicit Drugs”, Armona 2018
“Instantly Hooked? Freebies and Samples of Opioids, Cannabis, MDMA, and Other Drugs in an Illicit E-Commerce Market”, Ladegaard 2018
“‘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”, Lorenzo-Dus & Cristofaro 2018
“Thinking, Fast and Slow: Combining Vector Spaces and Knowledge Graphs”, Mittal et al 2017
Thinking, Fast and Slow: Combining Vector Spaces and Knowledge Graphs
“A Geographical Analysis of Trafficking on a Popular Darknet Market”, Broséus et al 2017
A geographical analysis of trafficking on a popular darknet market
“The Effects of Police Interventions on Darknet Market Drug Prices”, Hull 2017
The Effects of Police Interventions on Darknet Market Drug Prices:
View PDF:
“An Exploratory Investigation into the Darknet Marketplace Discussion Forum Agora”, Luo 2017
An exploratory investigation into the darknet marketplace discussion forum Agora:
View PDF:
“Application of Stylometry to Dark Web Forum User Identification”, Ho & Ng 2016
Application of Stylometry to Dark Web Forum User Identification
“Buying Drugs on a Darknet Market: A Better Deal? Studying the Online Illicit Drug Market through the Analysis of Digital, Physical and Chemical Data”, Rhumorbarbe et al 2016
“Ethics in Cryptomarket Research”, Martin & Christin 2016b
“Mixing Politics and Crime—The Prevalence and Decline of Political Discourse on the Cryptomarket”, Munksgaard & Demant 2016b
Mixing politics and crime—The prevalence and decline of political discourse on the cryptomarket
“A Replication and Methodological Critique of the Study ‘Evaluating Drug Trafficking on the Tor Network’”, Munksgaard et al 2016
“Do Police Crackdowns Disrupt Drug Cryptomarkets? A Longitudinal Analysis of the Effects of Operation Onymous”, Décary-Hétu & Giommoni 2016
“Personal Use, Social Supply or Redistribution? Cryptomarket Demand on Silk Road 2 and Agora”, Demant et al 2016
Personal use, social supply or redistribution? cryptomarket demand on Silk Road 2 and Agora
“A Deep Analysis of the Law Enforcement Impact on the DarkMarkets”
A Deep Analysis of the law enforcement impact on the DarkMarkets:
“Dark Net Market Archives, 2011-2015”
Dark Net Market archives, 2011-2015:
View External Link:
“Data Sprint WS 14 Sep 2016”
“All the Analysis on the Impact of Operation Onymous on Agora Is Available Here: Https://ada-2019.github.io/Project/#about”
“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.”
“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.”
“Illuminating the Dark Web. Searching for Geotags in Dark Net”
Illuminating the Dark Web. Searching for geotags in dark net
“Small Potent Doses of Illegal Drugs Are Evading Authorities but Having a Huge Impact”
Small potent doses of illegal drugs are evading authorities but having a huge impact:
“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.”
“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.”
“Shedding Light on the Dark Web”
“Drug Listing Dataset”
“Dark Net Marketplace Data (Agora 2014-2015)”
“Internet-Facilitated Drugs Trade: An Analysis of the Size, Scope and the Role of the Netherlands”
Internet-facilitated drugs trade: An analysis of the size, scope and the role of the Netherlands
“Offline Constraints in Online Drug Marketplaces: An Exploratory Analysis of a Cryptomarket Trade Network”
“Availability of Datasets for Digital Forensics - And What Is Missing”
Availability of datasets for digital forensics - And what is missing
“You Can Now Download a Copy of Pretty Much Every Dark Web Market Ever Made”
You Can Now Download a Copy of Pretty Much Every Dark Web Market Ever Made
“How Drug Listings on the Dark Net May Have Revealed Sellers' Locations”
How drug listings on the dark net may have revealed sellers' locations
Sort By Magic
Annotations sorted by machine learning into inferred 'tags'. This provides an alternative way to browse: instead of by date order, one can browse in topic order. The 'sorted' list has been automatically clustered into multiple sections & auto-labeled for easier browsing.
Beginning with the newest annotation, it uses the embedding of each annotation to attempt to create a list of nearest-neighbor annotations, creating a progression of topics. For more details, see the link.
darknet-analysis
drug-market
cryptomarket-analysis
Wikipedia
Miscellaneous
-
/doc/darknet-market/2018-cherqi.pdf:View PDF:
-
/doc/darknet-market/dnm-archive/2017-02-12-thetimes-darknetdealersdraggedintothelight.html: -
/doc/darknet-market/2017-moeller.pdf:View PDF:
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http://jacquelinegarrahan.com/docs/dark_web_authorship.pdf: -
http://ryancompton.net/2015/03/24/darknet-market-basket-analysis/: -
http://www.csl.sri.com/users/gehani/papers/KDD-2017.Onions.pdf: -
http://www.smallake.kr/wp-content/uploads/2018/01/SSRN-id3102645.pdf: -
https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1041&context=amcis2017#pdf: -
https://dspace.cvut.cz/bitstream/handle/10467/79794/F8-DP-2018-Smrz-Josef-thesis.pdf?sequence=-1: -
https://github.com/rcompton/black-market-recommender-systems -
https://hcommons.org/deposits/objects/hc:20220/datastreams/CONTENT/content?download=true#pdf: -
https://qz.com/466273/what-illegal-drugs-cost-on-the-dark-web/ -
https://studenttheses.universiteitleiden.nl/access/item%3A2608213/view: -
https://web.stanford.edu/~larmona/Armona_InformalCommDarknet.pdf: -
https://www.aaai.org/ocs/index.php/WS/AAAIW17/paper/viewFile/15205/14661: -
https://www.amazon.com/Weaving-Dark-Web-Legitimacy-Information/dp/0262038269 -
https://www.diva-portal.org/smash/get/diva2:1178768/FULLTEXT01.pdf: -
https://www.emcdda.europa.eu/system/files/publications/6585/TD0417834ENN.pdf: -
https://www.reddit.com/r/Bitcoin/comments/3dh824/15_tb_of_dark_net_market_scrapes_released_online/: -
https://www.reddit.com/r/Buttcoin/comments/3dhz9f/gwern_has_released_15tb_of_darknet_market_screen/: -
https://www.reddit.com/r/DarkNetMarkets/comments/3dfq8s/dark_net_market_archives_20112015/ -
https://www.reddit.com/r/SilkRoad/comments/3a2xqp/sr1_sales_data_6_feb_2011_2_oct_2013/: -
https://www.rsm.nl/fileadmin/Images_NEW/Departments/TOM/Calis_Thijmen_Thesis.pdf: -
https://www.sciencedirect.com/science/article/pii/S0379073817303341 -
https://www.usenix.org/system/files/conference/usenixsecurity18/sec18-yuan_0.pdf: