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

Saini Das (), Arunabha Mukhopadhyay, Debashis Saha and Samir Sadhukhan
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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

Information Systems Frontiers, 2019, vol. 21, issue 5, No 1, 959-977

Abstract: 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.

Keywords: Healthcare MANET; Risk assessment; Risk mitigation; Direction-based diurnal mobility; Transition probability; Markov theory (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s10796-017-9809-4

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