Abstract
Emerging E-health applications utilizing IoT (Internet of
Things) solutions should be sufficiently secure and
robust. Adaptive security management techniques enable
maintenance of sufficient security level during changing
context, threats and usage scenarios. Systematic adaptive
security management is based on security metrics. We
analyze security objective decomposition strategies for
an IoT E-health application. These strategies enable
development of meaningful security metrics. Adaptive
security solutions need security metrics to be able to
adapt the relevant security parameters according to
contextual and threat changes, which are typical for
patient-centric IoT solutions used in various
environments. In order to achieve this we have developed
a context-aware Markov game theoretic model for security
metrics risk impact assessment to measurably evaluate and
validate the run-time adaptivity of IoT security
solutions.
Original language | English |
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Title of host publication | ASPI '13 Proceedings of the International Workshop on Adaptive Security |
Place of Publication | New York |
Publisher | Association for Computing Machinery ACM |
ISBN (Print) | 978-1-4503-2543-1 |
DOIs | |
Publication status | Published - 2013 |
MoE publication type | A4 Article in a conference publication |
Event | International Workshop on Adaptive Security, ASPI 2013 - Zurich, Switzerland Duration: 8 Sept 2013 → 12 Sept 2013 |
Workshop
Workshop | International Workshop on Adaptive Security, ASPI 2013 |
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Abbreviated title | ASPI 2013 |
Country/Territory | Switzerland |
City | Zurich |
Period | 8/09/13 → 12/09/13 |
Keywords
- adaptive security
- e-health
- game theory
- IoT
- security metrics