Analysis of Dark Net Market Transactions Using JMP Pro 13g

Explore the world of dark net market transactions through detailed analysis using JMP Pro 13g. The study delves into data collection, methods used for analysis, findings on popular transactions and origins, as well as text analysis of item descriptions. Discover insights into the underground economy of dark net markets.

• Dark Net Market
• Transaction Analysis
• Data Collection
• Text Analysis
• Underground Economy

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1. Analysis of Dark Net Market Transactions using JMP Pro 13 g Abu Bakar Seddeke, MBA Candidate, Marketing Analytics Concentration, Oklahoma State University

2. Agenda OVERVIEW METHOD FINDINGS CONCLUSION

3. About Dark Net Market and Data Collection -A darknet market is a commercial website on the Internet that works through darknet such as 12P or Tor -Darknet market basically functions as black markets which involves in brokering or selling of items illegally -To analysis dark net market transaction, data set is collected from Kaggle.com -One of users of Kaggle.com named as Phillipjames11 shared this data set with Kaggle.com -Originally, this data set is ripped from Agora (a dark/deep web) marketplace from the years 2014 to 2015 OVERVIEW METHODS FINDINGS CONCLUSION

4. Methods to Analysis of Data -The data set contains transactions related information for drugs, financial service, weapons, counterfeit currency and more -This data set has 109,686 observations -Duplicate observations have been removed -After excluding drugs and e-books, the data set has 12,716 observations -Performed distribution analysis to see most popular transaction and origins of the transactions. -Performed text analysis on most popular transaction OVERVIEW FINDINGS CONCLUSION METHODS

5. Most Popular Transactions and Origins of the Transactions -Service/Money related transactions are the most popular in the dark net market after drug and e-books business -About 12% of the transactions in the dark net market are related to Service/Money -The origins of a huge numbers of transactions ( around 47%) are not traceable -Out of the traceable transactions, 28% transactions were originated from Belgium, followed by 24% from USA and 17% from Australia OVERVIEW METHODS FINDINGS CONCLUSION

6. Text Analysis -Performed text analysis on the item descriptions given in the order -Followed Bag-of-Words approach -Used Stop Words option to exclude some irrelevant words such as a , 10 etc -Most used terms used-Card, Paypal, Account, Bank and Address. OVERVIEW METHODS CONCLUSION FINDINGS

7. Text Analysis: Examples of Using Terms & Phrase in Transactions OVERVIEW METHODS FINDINGS CONCLUSION

8. Recommendations For Service Users For Service Issuers Using safe connections or using of extra level of protections Introduce mandatory two-factor authentication system PCI compliance Frequently checking transactions Data encryption Freezing account or credit Safe Login Screen Avoiding scams Be careful Security Assessment OVERVIEW METHODS FINDINGS CONCLUSION

9. Presenters Details Name Email Phone LinkedIn https://www.linkedin.com/in/abu- bakar-seddeke-2111b840/ Abu Bakar Seddeke aseddek@okstate.edu 405-719-3665

10. Abu Bakar Seddeke is unable to present this poster. Please contact Abu at aseddek@okstate.edu with questions.