[2403.09484] Artificial Bugs for Crowdsearch
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Economics > Theoretical Economics

arXiv:2403.09484 (econ)
[Submitted on 14 Mar 2024]

Title:Artificial Bugs for Crowdsearch

Authors:Hans Gersbach, Fikri Pitsuwan, Pio Blieske
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Abstract:Bug bounty programs, where external agents are invited to search and report vulnerabilities (bugs) in exchange for rewards (bounty), have become a major tool for companies to improve their systems. We suggest augmenting such programs by inserting artificial bugs to increase the incentives to search for real (organic) bugs. Using a model of crowdsearch, we identify the efficiency gains by artificial bugs, and we show that for this, it is sufficient to insert only one artificial bug. Artificial bugs are particularly beneficial, for instance, if the designer places high valuations on finding organic bugs or if the budget for bounty is not sufficiently high. We discuss how to implement artificial bugs and outline their further benefits.
Subjects: Theoretical Economics (econ.TH); Cryptography and Security (cs.CR)
Cite as: arXiv:2403.09484 [econ.TH]
  (or arXiv:2403.09484v1 [econ.TH] for this version)
  https://doi.org/10.48550/arXiv.2403.09484

Submission history

From: Fikri Pitsuwan [view email]
[v1] Thu, 14 Mar 2024 15:27:14 UTC (104 KB)
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