Title
Python Scrapers for Scraping Cryptomarkets on Tor
Document Type
Conference Proceeding
Publication Date
2019
Abstract
Cryptomarkets are commercial websites on the web that operate via darknet, a portion of the Internet that limits the ability to trace users’ identity. Cryptomarkets have facilitated illicit product trading and transformed the methods used for illicit product transactions. The survellience and understanding of cryptomarkets is critical for law enforcement and public health. In this paper, we design and implement Python scrapers for scraping cryptomarkets. The design of the scraper system is described with details and the source code of the scrapers is shared with the public.
Recommended Citation
Wu Y. et al. 2019. Python Scrapers for Scraping Cryptomarkets on Tor. In: Wang G., Feng J., Bhuiyan M., Lu R. (eds) Security, Privacy, and Anonymity in Computation, Communication, and Storage. SpaCCS 2019. Lecture Notes in Computer Science, vol 11611. Springer, Cham
Comments
For a copy of the paper, please email Yubao Wu (ywu28@gsu.edu)