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Who Should Be Responsible for Software Security? A Comparative Analysis of Liability Policies in Network Environments

Author

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  • Terrence August

    (Rady School of Management, University of California, San Diego, La Jolla, California 92093)

  • Tunay I. Tunca

    (Graduate School of Business, Stanford University, Stanford, California 94305)

Abstract

In recent years, vendor liability for software security vulnerabilities has been the center of an important debate in the software community and a topic gaining government attention in legislative committees and hearings. The importance of this question surrounding vendor security liability is amplified when one considers the increasing emergence of zero-day attacks where hackers take advantage of vulnerabilities before the software vendor has a chance to release protective patches. In this paper, we compare the effectiveness of three software liability policies: vendor liability for damages, vendor liability for patching costs, and government imposed security standards. We find that vendor liability for losses is not effective in improving social welfare in the short run, while liability for patching costs can be effective if either patching costs are large and the likelihood of a zero-day attack is low, or patching costs are small and zero-day likelihood is high. In the long run, when the vendor can invest in reducing the likelihood of security vulnerabilities, loss liability is still ineffective when the zero-day attack probability is high but can increase both vendor investment in security and social welfare when zero-day attack likelihood is sufficiently low. When the zero-day attack probability is high, patch liability is ineffective if user patching costs are large, but partial patch liability can boost vendor investment and improve welfare when patching costs are small. In contrast, in an environment with low zero-day attack probability, full vendor patch liability can be optimal. Finally, comparing the effectiveness of the three liability policies under study, we find that government imposed standards on software security investment can be preferable to both patching and loss liability on the vendor, if zero-day attack likelihood is sufficiently low. However, if zero-day attacks are a common occurrence and patching costs are not too high, partial patch liability is the most effective policy. This paper was accepted by Sandra Slaughter, information systems.

Suggested Citation

  • Terrence August & Tunay I. Tunca, 2011. "Who Should Be Responsible for Software Security? A Comparative Analysis of Liability Policies in Network Environments," Management Science, INFORMS, vol. 57(5), pages 934-959, May.
  • Handle: RePEc:inm:ormnsc:v:57:y:2011:i:5:p:934-959
    DOI: 10.1287/mnsc.1100.1304
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    References listed on IDEAS

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    3. Xing Gao, 2020. "Open Source or Closed Source? A Competitive Analysis with Software Security," Decision Analysis, INFORMS, vol. 17(1), pages 56-73, March.
    4. Da, Gaofeng & Xu, Maochao & Zhao, Peng, 2021. "Multivariate dependence among cyber risks based on L-hop propagation," Insurance: Mathematics and Economics, Elsevier, vol. 101(PB), pages 525-546.
    5. Lam, Wing Man Wynne, 2016. "Attack-prevention and damage-control investments in cybersecurity," Information Economics and Policy, Elsevier, vol. 37(C), pages 42-51.
    6. Tunay I. Tunca & Qiong Wu, 2013. "Fighting Fire with Fire: Commercial Piracy and the Role of File Sharing on Copyright Protection Policy for Digital Goods," Information Systems Research, INFORMS, vol. 24(2), pages 436-453, June.
    7. Zan Zhang & Guofang Nan & Yong Tan, 2020. "Cloud Services vs. On-Premises Software: Competition Under Security Risk and Product Customization," Information Systems Research, INFORMS, vol. 31(3), pages 848-864, September.
    8. Bienz, Carsten & Juranek, Steffen, 2020. "Software vulnerabilities and bug bounty programs," Discussion Papers 2020/4, Norwegian School of Economics, Department of Business and Management Science.
    9. Debabrata Dey & Atanu Lahiri & Guoying Zhang, 2015. "Optimal Policies for Security Patch Management," INFORMS Journal on Computing, INFORMS, vol. 27(3), pages 462-477, August.
    10. Terrence August & Duy Dao & Marius Florin Niculescu, 2022. "Economics of Ransomware: Risk Interdependence and Large-Scale Attacks," Management Science, INFORMS, vol. 68(12), pages 8979-9002, December.
    11. Arrah-Marie Jo, 2019. "Software vulnerability disclosure and security investment [L'impact de la divulgation d’une faille de sécurité : au-delà des motivations de l’éditeur de logiciel]," Post-Print hal-03033198, HAL.
    12. Chul Ho Lee & Xianjun Geng & Srinivasan Raghunathan, 2016. "Mandatory Standards and Organizational Information Security," Information Systems Research, INFORMS, vol. 27(1), pages 70-86, March.
    13. Berg, Nathan & Kim, Jeong-Yoo, 2022. "Optimal online-payment security system and the role of liability sharing," Economic Modelling, Elsevier, vol. 110(C).
    14. Terrence August & Duy Dao & Hyoduk Shin, 2015. "Optimal Timing of Sequential Distribution: The Impact of Congestion Externalities and Day-and-Date Strategies," Marketing Science, INFORMS, vol. 34(5), pages 755-774, September.
    15. Terrence August & Marius Florin Niculescu & Hyoduk Shin, 2014. "Cloud Implications on Software Network Structure and Security Risks," Information Systems Research, INFORMS, vol. 25(3), pages 489-510, September.
    16. Terrence August & Marius Florin Niculescu, 2013. "The Influence of Software Process Maturity and Customer Error Reporting on Software Release and Pricing," Management Science, INFORMS, vol. 59(12), pages 2702-2726, December.
    17. Lam, W., 2015. "Attack-Deterring and Damage-Control Investments in Cybersecurity," LIDAM Discussion Papers CORE 2015023, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    18. Terrence August & Duy Dao & Kihoon Kim, 2019. "Market Segmentation and Software Security: Pricing Patching Rights," Management Science, INFORMS, vol. 65(10), pages 4575-4597, October.
    19. Yonghua Ji & Subodha Kumar & Vijay Mookerjee, 2016. "When Being Hot Is Not Cool: Monitoring Hot Lists for Information Security," Information Systems Research, INFORMS, vol. 27(4), pages 897-918, December.
    20. Xing Gao & Weijun Zhong, 2016. "A differential game approach to security investment and information sharing in a competitive environment," IISE Transactions, Taylor & Francis Journals, vol. 48(6), pages 511-526, June.
    21. Qian Tang & Andrew B. Whinston, 2020. "Do Reputational Sanctions Deter Negligence in Information Security Management? A Field Quasi‐Experiment," Production and Operations Management, Production and Operations Management Society, vol. 29(2), pages 410-427, February.

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