Disseminação Robusta de Dados Pessoais Sensíveis Baseada em Comunidade de Interesse e Confiança Social para Suportar Situações Emergenciais de Saúde

• Agnaldo Batista UFPR
• Michele Nogueira UFPR
• Aldri Santos UFPR

DOI: https://doi.org/10.5753/sbseg.2019.13972

Abstract

E-health services deal with sensitive personal data, which must be preserved in the delivery and from unauthorized access. Dissemination control mechanisms have currently focused on health structured environments, like hospitals, and still do not adequately support the moments from an emergency takes place until health care in urban dynamic environments, as streets and avenues. Social aspects from people and their relationships contribute to preserving data delivery. This paper presents STEALTH, a system that employs social trust and communities of interest (CoI) to control the dissemination of people's sensitive data in emergencies on dynamic environments. NS-3 Simulations demonstrate its ability to ensure data dissemination to people who can contribute to efficient service. STEALTH achieved up to 80% of reliability in access to data with maximum latency of 95ms, up to 98,8% of availability for emergency situations.

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