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  1. Proceedings of the 2015 Workshop on Pervasive Wireless Healthcare (MobileHealth '15)
  2. mAuditor: Mobile Auditing Framework for mHealth Applications
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Mobile Sensing and Beyond in the Information Age: An Experimental Perspective
mAuditor: Mobile Auditing Framework for mHealth Applications
Smart Energy Harvesting Routing Protocol for WSN based E-Health Systems
A Genetic-Neuro-Fuzzy Inferential Technique for Diagnosis of Tuberculosis
Mobile Sensing and Beyond in the Information Age: An Experimental Perspective
PathS: Enhancing Geographical Maps with Environmental Sensed Data
Smartphone Sensor Fusion based Activity Recognition System for Elderly Healthcare
SmartHealth-NDNoT: Named Data Network of Things for Healthcare Services
AirSense: A Portable Context-sensing Device for Personal Air Quality Monitoring
Usability of a Low-Cost Wearable Health Device for Physical Activity and Sleep Duration in Healthy Adults
Understanding Women's Needs in Menopause for Development of mHealth

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mAuditor: Mobile Auditing Framework for mHealth Applications

Content Provider ACM Digital Library
Author Wang, Ting-Yu Jin, Haiming Nahrstedt, Klara
Abstract Enormous numbers of mobile health applications (mHealth apps) developed recently on mobile devices (e.g. smartphones, tablets, etc.) have enabled health status (e.g. sleep quality, heart rate, etc.) monitoring that is readily accessible to average mobile device users. Typically, such mHealth apps involve active usage of mobile device resources, such as on-board sensors, network bandwidth, etc. The rapid increase of these applications promotes the US FDA agency to put in place regulations on mHealth app risk assessment. But these existing and upcoming regulations have not yet been accompanied by a mobile auditing framework, which provides real-time monitoring of mHealth apps' resource usage and triggers alerts to users if abnormal resource usage patterns are detected. In this paper, we develop a low-overhead and non-obtrusive mobile auditing framework, called mAuditor, that specifically monitors in real-time on-board sensor and network bandwidth usage of mHealth apps. We carry out experiments using a diverse set of mHealth apps that are available on the Google Play App store. Our results indicate that mAuditor is able to detect the discrepancies between normal and abnormal resource usage patterns of mHealth apps.
Starting Page 7
Ending Page 12
Page Count 6
File Format PDF
ISBN 9781450335256
DOI 10.1145/2757290.2757291
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2015-06-22
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Mobile health applications Auditing
Content Type Text
Resource Type Article
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