Projects per year
To answer this question, we analyze scraped data on the business-to-business cybercrime segments of AlphaBay (2015-2017), consist- ing of 7,543 listings from 1,339 vendors, sold at least 126,934 times. We construct new variables to capture product differentiators and price. We capture the influence of vendor characteristics by identifying five distinct vendor profiles based on latent profile analysis of six properties. We leverage these product and vendor characteristics to empirically predict the performance of cybercrime products, whilst controlling for the lifespan and type of solution. Consistent with earlier insights into carding forums, we identify prevalent product differentiators to be influencing the relative success of a product. While all these product differentiators do correlate significantly with product performance, their explanatory power is lower than that of vendor profiles. When outsourcing, the vendor seems to be of more importance to the buyers than product differentiators.
|Title of host publication||Proceedings of The Web Conference (WWW)|
|Publisher||Association for Computing Machinery (ACM)|
|Number of pages||11|
|Publication status||Published - 2020|
|Event||IW3C2: The Web Conference 2020 - Taipei, Taiwan|
Duration: 20 Apr 2020 → 24 Apr 2020
|Conference||IW3C2: The Web Conference 2020|
|Period||20/04/20 → 24/04/20|
- Online anonymous markets
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van Eeten, M. J. G., Hernandez Ganan, C., Gürses, F. S., van Wegberg, R. S., Parkin, S. E., Zhauniarovich, Y., van Engelenburg, S. H., Kadenko, N. I., Labunets, K., Akyazi, U., Bouwman, X. B., Jansen, B. A., Kaur, M., Al Alsadi, A., Lone, Q. B., Turcios Rodriguez, E. R., Vermeer, M., van Harten, V. T. C., Vetrivel, S., Oomens, E. C., Kustosch, L. F., Bisogni, F., Ciere, M., Fiebig, T., Korczynski, M. T., Moreira Moura, G. C., Noroozian, A., Pieters, W., Tajalizadehkhoob, S., Dacier, B. H. A., San José Sanchez, J., Çetin, F. O. & Zannettou, S.
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