Pervasive m-Healthcare Framework for Diabetes

  • Madhu Sharma Gaur G. L. Bajaj Institute of Technology and Management, Greater Noida, India; Department of Information Technology, Graphic Era University, Dehradun, India
  • Bhasker Pant Department of Information Technology, Graphic Era University, Dehradun, India
Keywords: Diabetes, Mobile Pervasive Environment, Pervasive m-Healthcare, Security Assurance, Trust Management


Vision of pervasive computing includes wireless communication and information processing anywhere, anytime using mobile sensor devices connected seamlessly. Pervasive environment characterized by highly dynamic, open and diverse infrastructure where resource-restricted dissimilar mobile objects have the ability of Ad-hoc network set-up, self-organization and cooperation for information exchange and distributed operation unknown by the user. In such open computing environments, traditional security schemes and encryption algorithms cannot be always applied to address the security assurance challenges. Therefore, concepts of trust and reputation evaluation emerged by researchers. In addition to that in human-centric healthcare applications, reliability and trustworthiness between communicating nodes, quality of information assessment cannot be effectively ensured through hard security concerns. Thus soft security analysis becomes an important aspect for enhancing the security assurance and degree of trust in ICT enabled application and services where information is ubiquitous. In our proposed research work, we explore existing pervasive security and trust methods to assess the challenging gap. We put forward need of soft security and proposed a trust metric for trust based security assessment with classical clustering technique for energy-efficient resource restricted trusted and secure communication. Major security attacks and impact of signal strength on security for unnoticed pervasive services also evaluated. In winding up, we present pervasive healthcare application framework especially focused to awareness and quality remote care for diabetes, to realize and validate the conceptual model with case study.


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