Abstract
Security is a major concern in the emergence of new
digital ecosystems. We propose an initial metrics-driven
framework to manage security in IoT (Internet of Things)
E-Health applications. The framework enables informed
self-care of chronic diseases such as diabetes, COPD and
arthritis. The approach consists of security domain
classification, security metrics use scenarios, modeling
and visualization approaches, and monitoring and adaptive
decision-making considerations. The underlying digital
ecosystem considers a person with a chronic disease as a
source of health data for his or her own treatment and
other persons with similar conditions. In this type of
ecosystems, the role of security effective solutions is
important. Especially privacy is emphasized. Therefore,
security solutions should be analyzed well in advance,
even before specifying the new ecosystem.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the International Conference on Management of Emergent Digital EcoSystems, MEDES 2012 |
| Place of Publication | New York, NY, USA |
| Publisher | Association for Computing Machinery ACM |
| Pages | 75-79 |
| ISBN (Print) | 978-1-4503-1755-9 |
| DOIs | |
| Publication status | Published - 2012 |
| MoE publication type | Not Eligible |
| Event | International Conference on Management of Emergent Digital EcoSystems, MEDES 2012 - Addis Ababa, Ethiopia Duration: 28 Oct 2012 → 31 Oct 2012 |
Conference
| Conference | International Conference on Management of Emergent Digital EcoSystems, MEDES 2012 |
|---|---|
| Abbreviated title | MEDES 2012 |
| Country/Territory | Ethiopia |
| City | Addis Ababa |
| Period | 28/10/12 → 31/10/12 |
Keywords
- adaptive security
- digital ecosystems
- security
- security metrics
