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A Markov-Based Model for Information Security Risk Assessment in Healthcare MANETs

Author

Listed:
  • Saini Das

    (Indian Institute of Technology Kharagpur)

  • Arunabha Mukhopadhyay

    (Indian Institute of Management Lucknow)

  • Debashis Saha

    (Indian Institute of Management Calcutta)

  • Samir Sadhukhan

    (Indian Institute of Management Calcutta)

Abstract

Information security breaches are of major concern for healthcare mobile ad-hoc networks (h-MANETs). In this paper, we propose a model that identifies and assesses risk in an h-MANET deployed by a healthcare institution in a disaster-prone region a priori by modeling the possible routes a hacker might follow to compromise a target. Our model proposes a novel method to compute the transition probability of each hop in the h-MANET. Next, it employs Markov theory to compute the maximum and minimum number of hops required to compromise the target for a given source-target pair. It then determines the vulnerability for all the paths comprising minimum to maximum hops only for each pair by computing their overall transition probability. Finally, our model computes the risk associated with each of these paths. Based on the calculated risk level of each path, the management can recommend an appropriate risk mitigation strategy.

Suggested Citation

  • Saini Das & Arunabha Mukhopadhyay & Debashis Saha & Samir Sadhukhan, 2019. "A Markov-Based Model for Information Security Risk Assessment in Healthcare MANETs," Information Systems Frontiers, Springer, vol. 21(5), pages 959-977, October.
    • Handle: RePEc:spr:infosf:v:21:y:2019:i:5:d:10.1007_s10796-017-9809-4
    DOI: 10.1007/s10796-017-9809-4
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    References listed on IDEAS

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    1. Kuo-chung Chang & Chih-ping Wang, 2011. "Information systems resources and information security," Information Systems Frontiers, Springer, vol. 13(4), pages 579-593, September.
    2. Kjell Hausken, 2014. "Returns to information security investment: Endogenizing the expected loss," Information Systems Frontiers, Springer, vol. 16(2), pages 329-336, April.
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    4. Emmanouil A. Panaousis & Christos Politis & Konstantinos Birkos & Christos Papageorgiou & Tasos Dagiuklas, 2012. "Security model for emergency real-time communications in autonomous networks," Information Systems Frontiers, Springer, vol. 14(3), pages 541-553, July.
    5. Karthik Kannan & Rahul Telang, 2005. "Market for Software Vulnerabilities? Think Again," Management Science, INFORMS, vol. 51(5), pages 726-740, May.
    6. Pu Li & H. Raghav Rao, 2007. "An examination of private intermediaries’ roles in software vulnerabilities disclosure," Information Systems Frontiers, Springer, vol. 9(5), pages 531-539, November.
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    Cited by:

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    2. Kalpit Sharma & Arunabha Mukhopadhyay, 2023. "Cyber-risk Management Framework for Online Gaming Firms: an Artificial Neural Network Approach," Information Systems Frontiers, Springer, vol. 25(5), pages 1757-1778, October.

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