A secure service framework for optimizing driver’s health status

Jeong Kyu Lee, Seo Yeon Moon, Jong Hyuk Park

Research output: Contribution to journalArticlepeer-review

Abstract

As the traveling time has recently increased on modern people, the time they spent on vehicles was also extended. Undesirable driving habit or driving stress they experience in the vehicle degenerate drivers’ health conditions. Therefore, there have been studies actively conducted to deal with health conditions in the vehicle. However, there has not been sufficient amount of services for application on vehicles. A measurer for identifying in advance drivers’ physical health condition and reducing mental stress is needed. This paper is intended to suggest framework for the application of health condition-optimized service applied on a driver. Suggested framework is classified to a part where identifies and judges physical health condition of a driver and also to entertain their mental health. In addition, it should identify health condition and driving habit beforehand to prevent accidents and also make it feasible to flexibly manage and process through cloud computing technology. Furthermore, it aims to provide confidentiality, integrity, and protection of privacy on the vehicle information as well as drivers’ health condition information through authentication process.

Original languageEnglish
Pages (from-to)2438-2443
Number of pages6
JournalAdvanced Science Letters
Volume22
Issue number9
DOIs
StatePublished - Sep 2016

Keywords

  • Authentication
  • Encryption
  • Healthcare
  • Optimization
  • VCC

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