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Network Software Security and User Incentives

Author

Listed:
  • Terrence August

    (Graduate School of Business, Stanford University, 518 Memorial Way, Stanford, California 94305-5015)

  • Tunay I. Tunca

    (Graduate School of Business, Stanford University, 518 Memorial Way, Stanford, California 94305-5015)

Abstract

We study the effect of user incentives on software security in a network of individual users under costly patching and negative network security externalities. For proprietary software or freeware, we compare four alternative policies to manage network security: (i) consumer self-patching (where no external incentives are provided for patching or purchasing); (ii) mandatory patching; (iii) patching rebate; and (iv) usage tax. We show that for proprietary software, when the software security risk and the patching costs are high, for both a welfare-maximizing social planner and a profit-maximizing vendor, a patching rebate dominates the other policies. However, when the patching cost or the security risk is low, self-patching is best. We also show that when a rebate is effective, the profit-maximizing rebate is decreasing in the security risk and increasing in patching costs. The welfare-maximizing rebates are also increasing in patching costs, but can be increasing in the effective security risk when patching costs are high. For freeware, a usage tax is the most effective policy except when both patching costs, and security risk are low, in which case a patching rebate prevails. Optimal patching rebates and taxes tend to increase with increased security risk and patching costs, but can decrease in the security risk for high-risk levels. Our results suggest that both the value generated from software and vendor profits can be significantly improved by mechanisms that target user incentives to maintain software security.

Suggested Citation

  • Terrence August & Tunay I. Tunca, 2006. "Network Software Security and User Incentives," Management Science, INFORMS, vol. 52(11), pages 1703-1720, November.
  • Handle: RePEc:inm:ormnsc:v:52:y:2006:i:11:p:1703-1720
    DOI: 10.1287/mnsc.1060.0568
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    References listed on IDEAS

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    1. Goldman Steven Marc & Lightwood James, 2002. "Cost Optimization in the SIS Model of Infectious Disease with Treatment," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 2(1), pages 1-24, April.
    2. Mark Gersovitz & Jeffrey S. Hammer, 2004. "The Economical Control of Infectious Diseases," Economic Journal, Royal Economic Society, vol. 114(492), pages 1-27, January.
    3. Gersovitz, Mark & Hammer, Jeffrey S., 2005. "Tax/subsidy policies toward vector-borne infectious diseases," Journal of Public Economics, Elsevier, vol. 89(4), pages 647-674, April.
    4. Geoffard, Pierre-Yves & Philipson, Tomas, 1996. "Rational Epidemics and Their Public Control," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 37(3), pages 603-624, August.
    5. Michael Kremer, 1996. "Integrating Behavioral Choice into Epidemiological Models of AIDS," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 111(2), pages 549-573.
    6. Kessing, Sebastian G. & Nuscheler, Robert, 2006. "Monopoly pricing with negative network effects: The case of vaccines," European Economic Review, Elsevier, vol. 50(4), pages 1061-1069, May.
    7. Francis, Peter J., 1997. "Dynamic epidemiology and the market for vaccinations," Journal of Public Economics, Elsevier, vol. 63(3), pages 383-406, February.
    8. Fershtman, Chaim & Gandal, Neil & Choi, Jay Pil, 2005. "Internet Security, Vulnerability Disclosure and Software Provision," CEPR Discussion Papers 5269, C.E.P.R. Discussion Papers.
    9. Howard Kunreuther & Geoffrey Heal, 2002. "Interdependent Security: The Case of Identical Agents," NBER Working Papers 8871, National Bureau of Economic Research, Inc.
    10. Michael Kremer, 1996. "Integrating Behavioral Choice into Epidemiological Models of the AIDS Epidemic," NBER Working Papers 5428, National Bureau of Economic Research, Inc.
    11. Brito, Dagobert L. & Sheshinski, Eytan & Intriligator, Michael D., 1991. "Externalities and compulsary vaccinations," Journal of Public Economics, Elsevier, vol. 45(1), pages 69-90, June.
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