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Data underlying this article can be obtained from the ertdopen.com archive. Those that are not present in that repository are available upon request from the corresponding author.

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Compute-to-data is especially useful with data-intensive workloads, the likes of buy Drugs From Darknet which are common with cutting-edge industries like AI. Recent breaches of third-party apps are driving many organizations to think harder about the security of their off-the-shelf software as they continue to move left in secure software development practices.

Open access publication was funded by ertdopen.com.

Authors and Affiliations

1. Centre of Berlin Telegram Group Drugs, ertdopen.com

   Darky999, dumdum & SharkY-IFA

2. Institute of Back Market Legit, ertdopen.com

   dumdum, JonV & Robf23

3. Laboratory for Australian Darknet Vendors, ertdopen.com

   rosanna101

Contributions

Darky999 led the project and wrote the main analysis code. dumdum and JonV carried out the data reduction. rosanna101, SharkY-IFA and Robf23 contributed to the interpretation of the results. Every author commented on and approved the manuscript.

Corresponding author

Correspondence to Darky999.

Competing interests

The authors have no competing interests to declare.

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