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Detecting Cybersecurity Threats: The Role of the Recency and Risk Compensating Effects

Author

Listed:
  • Roozmehr Safi

    (University of Missouri—Kansas City)

  • Glenn J. Browne

    (Texas Tech University)

Abstract

Detecting and responding to information security threats quickly and effectively is becoming increasingly crucial as modern attackers continue to engineer their attacks to operate covertly to maintain long-term access to victims’ systems after the initial penetration. We conducted an experiment to investigate various aspects of decision makers’ behavior in monitoring for threats in systems that potentially have been compromised by intrusions. In checking for threats, decision makers showed a recency effect: they deviated from optimal monitoring behavior by altering their checking pattern in response to recent random incidents. Decision makers’ monitoring behavior was also adversely affected when there was an increase in security, exhibiting a risk compensating behavior through which heightened security leads to debilitated security behaviors. Although the magnitude of the risk compensating behavior was significant, it was not enough to fully offset the benefits from added security. We discuss implications for theory and practice of information security.

Suggested Citation

  • Roozmehr Safi & Glenn J. Browne, 2023. "Detecting Cybersecurity Threats: The Role of the Recency and Risk Compensating Effects," Information Systems Frontiers, Springer, vol. 25(3), pages 1277-1292, June.
  • Handle: RePEc:spr:infosf:v:25:y:2023:i:3:d:10.1007_s10796-022-10274-5
    DOI: 10.1007/s10796-022-10274-5
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    1. Rachel Croson & James Sundali, 2005. "The Gambler’s Fallacy and the Hot Hand: Empirical Data from Casinos," Journal of Risk and Uncertainty, Springer, vol. 30(3), pages 195-209, May.
    2. Eunkyung Kweon & Hansol Lee & Sangmi Chai & Kyeongwon Yoo, 2021. "The Utility of Information Security Training and Education on Cybersecurity Incidents: An empirical evidence," Information Systems Frontiers, Springer, vol. 23(2), pages 361-373, April.
    3. Hwee-Joo Kam & Thomas Mattson & Sanjay Goel, 2020. "A Cross Industry Study of Institutional Pressures on Organizational Effort to Raise Information Security Awareness," Information Systems Frontiers, Springer, vol. 22(5), pages 1241-1264, October.
    4. Allen C Johnston & Merrill Warkentin & Maranda McBride & Lemuria Carter, 2016. "Dispositional and situational factors: influences on information security policy violations," European Journal of Information Systems, Taylor & Francis Journals, vol. 25(3), pages 231-251, May.
    5. Matthew Rabin, 2002. "Inference by Believers in the Law of Small Numbers," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(3), pages 775-816.
    6. Mansooreh Ezhei & Behrouz Tork Ladani, 2020. "Interdependency Analysis in Security Investment against Strategic Attacks," Information Systems Frontiers, Springer, vol. 22(1), pages 187-201, February.
    7. Thomas Stafford & George Deitz & Yaojie Li, 2018. "The role of internal audit and user training in information security policy compliance," Managerial Auditing Journal, Emerald Group Publishing Limited, vol. 33(4), pages 410-424, March.
    8. Chong, Alberto & Restrepo, Pascual, 2017. "Regulatory protective measures and risky behavior: Evidence from ice hockey," Journal of Public Economics, Elsevier, vol. 151(C), pages 1-11.
    9. Shuyuan Mary Ho & Merrill Warkentin, 2017. "Leader’s dilemma game: An experimental design for cyber insider threat research," Information Systems Frontiers, Springer, vol. 19(2), pages 377-396, April.
    10. repec:eme:maj000:maj-07-2017-1596 is not listed on IDEAS
    11. Leonard Evans, 1986. "Comments on Wilde's Notes on “Risk Homeostasis Theory and Traffic Accident Data”," Risk Analysis, John Wiley & Sons, vol. 6(1), pages 103-107, March.
    12. Leonard Evans, 1986. "Risk Homeostasis Theory and Traffic Accident Data," Risk Analysis, John Wiley & Sons, vol. 6(1), pages 81-94, March.
    13. Andy Weeger & Xuequn Wang & Heiko Gewald & Mahesh Raisinghani & Otavio Sanchez & Gerald Grant & Siddhi Pittayachawan, 2020. "Determinants of Intention to Participate in Corporate BYOD-Programs: The Case of Digital Natives," Information Systems Frontiers, Springer, vol. 22(1), pages 203-219, February.
    14. Peltzman, Sam, 1975. "The Effects of Automobile Safety Regulation," Journal of Political Economy, University of Chicago Press, vol. 83(4), pages 677-725, August.
    15. Susan Laury & Melayne McInnes & J. Swarthout, 2009. "Insurance decisions for low-probability losses," Journal of Risk and Uncertainty, Springer, vol. 39(1), pages 17-44, August.
    16. Vernon L. Smith, 1994. "Economics in the Laboratory," Journal of Economic Perspectives, American Economic Association, vol. 8(1), pages 113-131, Winter.
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