|
Descripción
|
|
|---|---|
| Security is a key issue to effectively provide home telecare services at wide scope. E-health users and operators must be convinced about the reliability of the systems to accept them. Applications that manage health information of patients in a very sensible context like the home, should ensure services disposability and robustness in addition to ciphering and integrity features. Intrusion Detection Systems (IDS) can help to secure these services providing reliability to users at a smart home. Since classic IDS cannot detect anomalies like new attacks, the objective of the research work detailed in this paper is paper is to provide and anomalies detection architecture to support a home telecare IDS based on users behavior. Neural networks are methodologically selected for this IDS architecture in order to classify the behavior of users according to previously defined profiles (roles). If no match does exist with any role, the situation is considered an anomaly. An implementation of the architecture proposed to secure telecare services for a smart home has been carried out in order to validate its functionality and performance getting to satisfactory results. Key words: Smart Home, Telecare, Security, IDS | |
|
Internacional
|
Si |
|
Nombre congreso
|
CoLLECTeR Iberoamérica 2007 |
|
Tipo de participación
|
960 |
|
Lugar del congreso
|
Universidad Nacional de Córdoba (ARGENTINA) |
|
Revisores
|
Si |
|
ISBN o ISSN
|
|
|
DOI
|
|
|
Fecha inicio congreso
|
06/11/2007 |
|
Fecha fin congreso
|
09/11/2007 |
|
Desde la página
|
|
|
Hasta la página
|
|
|
Título de las actas
|
|