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Sustainability of Information Security Investment in Online Social Networks: An Evolutionary Game-Theoretic Approach

Author

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  • Guang Zhu

    (School of Management Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China
    China Institute of Manufacturing Development, Nanjing University of Information Science and Technology, Nanjing 210044, China)

  • Hu Liu

    (School of Management Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China)

  • Mining Feng

    (China Institute of Manufacturing Development, Nanjing University of Information Science and Technology, Nanjing 210044, China)

Abstract

With the rapid development of information technologies, security violations in online social networks (OSN) have emerged as a critical issue. Traditional technical and organizational approaches do not consider economic factors, which are increasingly important to sustain information security investment. In this paper, we develop an evolutionary game model to study the sustainability of information security investment in OSN, and propose a quantitative approach to analyze and optimize security investment. Additionally, we examine a contract with an incentive mechanism to eliminate free riding, which helps sustain the security investment. Numerical examples are provided for illustration and simulation purposes, leading to several countermeasures and suggestions. Our analytical results show that the optimal strategy of information security investment not only is correlated with profit growth coefficients and investment costs, but is also influenced significantly by the profits from free riding. If the profit growth coefficients are prohibitively small, both OSN service providers and online platforms will not choose to sustain investment based on small profits. As profit growth coefficients increase, there is a higher probability that game players will invest. Another major finding is that the (Invest, Invest) profile is much less sensitive to the change of profit growth coefficients and the convergent speed of this scenario is faster than the other profiles. The government agency can use the proposed model to determine a proper incentive or penalty to help both parties reach the optimal strategies and thus improve OSN security.

Suggested Citation

  • Guang Zhu & Hu Liu & Mining Feng, 2018. "Sustainability of Information Security Investment in Online Social Networks: An Evolutionary Game-Theoretic Approach," Mathematics, MDPI, vol. 6(10), pages 1-19, September.
    • Handle: RePEc:gam:jmathe:v:6:y:2018:i:10:p:177-:d:172189
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    References listed on IDEAS

    as
    1. Daniel Friedman, 1998. "On economic applications of evolutionary game theory," Journal of Evolutionary Economics, Springer, vol. 8(1), pages 15-43.
    2. Stephen W. Salant & Sheldon Switzer & Robert J. Reynolds, 1983. "Losses From Horizontal Merger: The Effects of an Exogenous Change in Industry Structure on Cournot-Nash Equilibrium," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 98(2), pages 185-199.
    3. Chaitanya Gokhale & Arne Traulsen, 2014. "Evolutionary Multiplayer Games," Dynamic Games and Applications, Springer, vol. 4(4), pages 468-488, December.
    4. Zhang, Huiming & Xu, Zhidong & Zhou, Dequn & Cao, Jie, 2017. "Waste cooking oil-to-energy under incomplete information: Identifying policy options through an evolutionary game," Applied Energy, Elsevier, vol. 185(P1), pages 547-555.
    5. Geert Jan Olsder, 2000. "Differential Game-Theoretic Thoughts On Option Pricing And Transaction Costs," International Game Theory Review (IGTR), World Scientific Publishing Co. Pte. Ltd., vol. 2(02n03), pages 209-228.
    6. Esther Gal-Or & Anindya Ghose, 2005. "The Economic Incentives for Sharing Security Information," Information Systems Research, INFORMS, vol. 16(2), pages 186-208, June.
    7. Huseyin Cavusoglu & Young Kwark & Bin Mai & Srinivasan Raghunathan, 2013. "Passenger Profiling and Screening for Aviation Security in the Presence of Strategic Attackers," Decision Analysis, INFORMS, vol. 10(1), pages 63-81, March.
    8. Kjell Hausken, 2006. "Returns to information security investment: The effect of alternative information security breach functions on optimal investment and sensitivity to vulnerability," Information Systems Frontiers, Springer, vol. 8(5), pages 338-349, December.
    9. Chan Y. Han & Brian J. Lunday & Matthew J. Robbins, 2016. "A Game Theoretic Model for the Optimal Location of Integrated Air Defense System Missile Batteries," INFORMS Journal on Computing, INFORMS, vol. 28(3), pages 405-416, August.
    10. Vijay Mookerjee & Radha Mookerjee & Alain Bensoussan & Wei T. Yue, 2011. "When Hackers Talk: Managing Information Security Under Variable Attack Rates and Knowledge Dissemination," Information Systems Research, INFORMS, vol. 22(3), pages 606-623, September.
    11. Xing Gao & Weijun Zhong & Shue Mei, 2014. "A game-theoretic analysis of information sharing and security investment for complementary firms," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 65(11), pages 1682-1691, November.
    12. Gordon, Lawrence A. & Loeb, Martin P. & Lucyshyn, William, 2003. "Sharing information on computer systems security: An economic analysis," Journal of Accounting and Public Policy, Elsevier, vol. 22(6), pages 461-485.
    13. Jack Shih-Chieh Hsu & Sheng-Pao Shih & Yu Wen Hung & Paul Benjamin Lowry, 2015. "The Role of Extra-Role Behaviors and Social Controls in Information Security Policy Effectiveness," Information Systems Research, INFORMS, vol. 26(2), pages 282-300, June.
    14. Asunur Cezar & Huseyin Cavusoglu & Srinivasan Raghunathan, 2014. "Outsourcing Information Security: Contracting Issues and Security Implications," Management Science, INFORMS, vol. 60(3), pages 638-657, March.
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