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The Economic Impact of Stolen Data Markets

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Part of the Palgrave Studies in Cybercrime and Cybersecurity book series (PSCYBER)

Abstract

This chapter provides an in-depth analysis of the factors that may affect the price and profits received by data buyers and vendors within the market for stolen data. First, the issue of “lemon markets” is discussed, where the lack of information on the quality of data may lead to lower-priced data of low value dominating the market. Using linear regression models, we find that the price for dumps and eBay accounts are directly affected by social factors including the language of participants which may be a proxy for trust. Additionally, we discuss the challenges inherent in modeling the profit margins of data buyers and sellers. The prospective earnings of vendors are explored, suggesting they may make thousands of dollars depending on the product, while buyers could earn millions but face greater risk of economic loss.

Keywords

Profits Lemon market Ripping Language Dumps 

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Copyright information

© The Author(s) 2016

Authors and Affiliations

  1. 1.Michigan State UniversityEast LansingUSA
  2. 2.East Carolina UniversityGreenvilleUSA
  3. 3.Michigan State UniversityEast LansingUSA

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