Open AccessSensors data collection framework using mobile identification with secure data sharing model
Author(s) -
Fulayjan Alanazi,
Ahmed Elhadad,
Safwat Hamad,
A. Ghareeb
Publication year - 2019
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijece.v9i5.pp4258-4265
Subject(s) - computer science , identification (biology) , cloud computing , encryption , data collection , data sharing , mobile device , cloud server , proxy (statistics) , proxy server , computer security , database , computer network , operating system , mathematics , pathology , medicine , statistics , botany , alternative medicine , machine learning , biology
Sensors are the modules or electronic devices that are used to measure and get environmental events and send the captured data to other devices, usually computer processors allocated on the cloud. One of the most recent challenges is to protect and save the privacy issues of those sensors data on the cloud sharing. In this paper, sensors data collection framework is proposed using mobile identification and proxy re-encryption model for data sharing. The proposed framework includes: identity broker server, sensors managing and monitoring applications, messages queuing sever and data repository server. Finally, the experimental results show that the proposed proxy re-encryption model can work in real time.