A Method for Identifying eHealth Applications Using Side-Channel Information
| Autor: | Michele Nogueira, Aldri Santos, Iago Medeiros, Andressa Vergutz, Denis Rosário, Eduardo Cerqueira |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
021110 strategic
defence & security studies business.industry Computer science Distributed computing Health care 0211 other engineering and technologies 0202 electrical engineering electronic engineering information engineering eHealth 020206 networking & telecommunications 02 engineering and technology Side channel attack Postoperative rehabilitation business |
| Zdroj: | GLOBECOM |
| DOI: | 10.1109/globecom38437.2019.9013503 |
| Popis: | eHealth applications become popular with the increasing incidence of cancer and postoperative rehabilitation, that require continuous remote monitoring of patients. Given the huge diversity of eHealth applications, their proper and non- invasive identification assist in attaining important requirements as low latency and reliability. But, their identification is not trivial once they have similar characteristics to common applications. Also, the time taken to identify an eHealth application is crucial, however usually it is not addressed as relevant. This paper presents MOTIF, a method for identifying eHealth applications from side-channel information extracted from network traffic. It is non-invasive and does not inspect packet payload, employing machine learning algorithms for the particularities of healthcare scenarios. Results show MOTIF feasibility and point out an accuracy higher than 90% in less than 30 seconds. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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