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dc.contributor.authorDas, Saini
dc.contributor.authorMukhopadhyay, Arunabha
dc.contributor.authorSaha, Debashish
dc.contributor.authorSadhukhan, Samir K.
dc.descriptionDas, Saini, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal 721302, India; Mukhopadhyay, Arunabha, Indian Institute of Management Lucknow, Lucknow, India; Saha, Debashish, Indian Institute of Management Calcutta, Kolkata, India; Sadhukhan, Samir K., Indian Institute of Management Calcutta, Kolkata, India
dc.descriptionISSN/ISBN - 13873326
dc.descriptionDOI - 10.1007/s10796-017-9809-4
dc.description.abstractInformation 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 <S-T> pair. It then determines the vulnerability for all the paths comprising minimum to maximum hops only for each <S-T> 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.
dc.publisherInformation Systems Frontiers
dc.publisherSpringer New York LLC
dc.subjectDirection-based diurnal mobility
dc.subjectHealthcare MANET
dc.subjectMarkov theory
dc.subjectRisk assessment
dc.subjectRisk mitigation
dc.subjectTransition probability
dc.titleA Markov-Based Model for Information Security Risk Assessment in Healthcare MANETs
Appears in Collections:Management Information Systems

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