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Information Security Investment When Hackers Disseminate Knowledge

Author

Listed:
  • Xing Gao

    (School of Economics and Management, Southeast University, Nanjing 211189, Jiangsu, China)

  • Weijun Zhong

    (School of Economics and Management, Southeast University, Nanjing 211189, Jiangsu, China)

  • Shue Mei

    (School of Economics and Management, Southeast University, Nanjing 211189, Jiangsu, China)

Abstract

As an emerging and thriving research branch, information security economics has recently drawn significant attention from practitioners and academics. Traditionally, both decision and static game theoretical techniques are employed to characterize the strategies of firms and hackers. However, these techniques fail to capture the dynamic attribute of the risk environment, which is an increasingly important element, especially in modern distributed and complex computer and communication networks. Utilizing a differential game framework in which hackers disseminate security knowledge within a hacker population over time, this paper analyzes dynamic interactions between a firm endeavoring to protect its information assets and a hacker seeking to misappropriate them. In particular, we investigate three differential games in which the firm and the hacker move simultaneously and sequentially, respectively. We find that (a) the hacker invests the most in the simultaneous differential game, whereas the firm, as the leader, invests the most in the sequential differential game, and (b) both the firm and the hacker enjoy their highest payoffs in the sequential differential game with the hacker as the leader. Furthermore, it is numerically shown that in equilibrium, knowledge dissemination may not necessarily benefit the hacker and harm the firm. Some of our results are consistent with the findings of previous work, although the earlier results were obtained from a static game framework. Our main findings contrast with those of several previous studies that showed mixed results for comparisons between simultaneous and sequential games.

Suggested Citation

  • Xing Gao & Weijun Zhong & Shue Mei, 2013. "Information Security Investment When Hackers Disseminate Knowledge," Decision Analysis, INFORMS, vol. 10(4), pages 352-368, December.
  • Handle: RePEc:inm:ordeca:v:10:y:2013:i:4:p:352-368
    DOI: 10.1287/deca.2013.0278
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    6. Nikhil Malik & Manmohan Aseri & Param Vir Singh & Kannan Srinivasan, 2022. "Why Bitcoin Will Fail to Scale?," Management Science, INFORMS, vol. 68(10), pages 7323-7349, October.
    7. Yong Wu & Junlin Duan & Tao Dai & Dong Cheng, 2020. "Managing Security Outsourcing in the Presence of Strategic Hackers," Decision Analysis, INFORMS, vol. 17(3), pages 235-259, September.
    8. Xiaotong Li, 2022. "An evolutionary game‐theoretic analysis of enterprise information security investment based on information sharing platform," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(3), pages 595-606, April.
    9. Xing Gao & Weijun Zhong, 2016. "Economic incentives in security information sharing: the effects of market structures," Information Technology and Management, Springer, vol. 17(4), pages 361-377, December.
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    12. Theodore T. Allen & Zhenhuan Sui & Nathan L. Parker, 2017. "Timely Decision Analysis Enabled by Efficient Social Media Modeling," Decision Analysis, INFORMS, vol. 14(4), pages 250-260, December.

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