Metrics driven security management framework for ehealth digital ecosystem focusing on chronic diseases

Reijo Savola, M. Sihvonen

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

2 Citations (Scopus)

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 languageEnglish
Title of host publicationProceedings of the International Conference on Management of Emergent Digital EcoSystems, MEDES 2012
Place of PublicationNew York, NY, USA
PublisherAssociation for Computing Machinery ACM
Pages75-79
ISBN (Print)978-1-4503-1755-9
DOIs
Publication statusPublished - 2012
MoE publication typeNot Eligible
EventInternational Conference on Management of Emergent Digital EcoSystems, MEDES 2012 - Addis Ababa, Ethiopia
Duration: 28 Oct 201231 Oct 2012

Conference

ConferenceInternational Conference on Management of Emergent Digital EcoSystems, MEDES 2012
Abbreviated titleMEDES 2012
CountryEthiopia
CityAddis Ababa
Period28/10/1231/10/12

Fingerprint

Ecosystems
Health
Medical problems
Visualization
Decision making
Monitoring

Keywords

  • adaptive security
  • digital ecosystems
  • security
  • security metrics

Cite this

Savola, R., & Sihvonen, M. (2012). Metrics driven security management framework for ehealth digital ecosystem focusing on chronic diseases. In Proceedings of the International Conference on Management of Emergent Digital EcoSystems, MEDES 2012 (pp. 75-79). New York, NY, USA: Association for Computing Machinery ACM. https://doi.org/10.1145/2457276.2457291
Savola, Reijo ; Sihvonen, M. / Metrics driven security management framework for ehealth digital ecosystem focusing on chronic diseases. Proceedings of the International Conference on Management of Emergent Digital EcoSystems, MEDES 2012. New York, NY, USA : Association for Computing Machinery ACM, 2012. pp. 75-79
@inproceedings{d04feb4e6e4446d5999dcde001d8bba8,
title = "Metrics driven security management framework for ehealth digital ecosystem focusing on chronic diseases",
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.",
keywords = "adaptive security, digital ecosystems, security, security metrics",
author = "Reijo Savola and M. Sihvonen",
year = "2012",
doi = "10.1145/2457276.2457291",
language = "English",
isbn = "978-1-4503-1755-9",
pages = "75--79",
booktitle = "Proceedings of the International Conference on Management of Emergent Digital EcoSystems, MEDES 2012",
publisher = "Association for Computing Machinery ACM",
address = "United States",

}

Savola, R & Sihvonen, M 2012, Metrics driven security management framework for ehealth digital ecosystem focusing on chronic diseases. in Proceedings of the International Conference on Management of Emergent Digital EcoSystems, MEDES 2012. Association for Computing Machinery ACM, New York, NY, USA, pp. 75-79, International Conference on Management of Emergent Digital EcoSystems, MEDES 2012, Addis Ababa, Ethiopia, 28/10/12. https://doi.org/10.1145/2457276.2457291

Metrics driven security management framework for ehealth digital ecosystem focusing on chronic diseases. / Savola, Reijo; Sihvonen, M.

Proceedings of the International Conference on Management of Emergent Digital EcoSystems, MEDES 2012. New York, NY, USA : Association for Computing Machinery ACM, 2012. p. 75-79.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

TY - GEN

T1 - Metrics driven security management framework for ehealth digital ecosystem focusing on chronic diseases

AU - Savola, Reijo

AU - Sihvonen, M.

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

KW - adaptive security

KW - digital ecosystems

KW - security

KW - security metrics

U2 - 10.1145/2457276.2457291

DO - 10.1145/2457276.2457291

M3 - Conference article in proceedings

SN - 978-1-4503-1755-9

SP - 75

EP - 79

BT - Proceedings of the International Conference on Management of Emergent Digital EcoSystems, MEDES 2012

PB - Association for Computing Machinery ACM

CY - New York, NY, USA

ER -

Savola R, Sihvonen M. Metrics driven security management framework for ehealth digital ecosystem focusing on chronic diseases. In Proceedings of the International Conference on Management of Emergent Digital EcoSystems, MEDES 2012. New York, NY, USA: Association for Computing Machinery ACM. 2012. p. 75-79 https://doi.org/10.1145/2457276.2457291