Browsing by Subject "Android"
Now showing items 1-6 of 6
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A fog computing solution for context-based privacy leakage detection for android healthcare devices
( MDPI AG , 2019 , Article)Intelligent medical service system integrates wireless internet of things (WIoT), including medical sensors, wireless communications, and middleware techniques, so as to collect and analyze patients' data to examine their ... -
Cloud-Ready Biometric System for Mobile Security Access
( Springer , 2012 , Conference Paper)In this contribution, we introduce an application that allows a mobile phone to be used as a biometric-capture device for secure access to the cloud. In this application, the biometric capture and recognition are performed ... -
Driver Drowsiness Detection Model Using Convolutional Neural Networks Techniques for Android Application
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)A sleepy driver is arguably much more dangerous on the road than the one who is speeding as he is a victim of microsleeps. Automotive researchers and manufacturers are trying to curb this problem with several technological ... -
DyDroid: Measuring Dynamic Code Loading and Its Security Implications in Android Applications
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)Android has provided dynamic code loading (DCL) since API level one. DCL allows an app developer to load additional code at runtime. DCL raises numerous challenges with regards to security and accountability analysis of ... -
Real-time Driver Drowsiness Detection for Android Application Using Deep Neural Networks Techniques
( Elsevier B.V. , 2018 , Conference Paper)Road crashes and related forms of accidents are a common cause of injury and death among the human population. According to 2015 data from the World Health Organization, road traffic injuries resulted in approximately 1.25 ... -
Urban Traffic Monitoring and Modeling System: An IoT Solution for Enhancing Road Safety
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)Qatar expects more than a million visitors during the 2022 World Cup, which will pose significant challenges. The high number of people will likely cause a rise in road traffic congestion, vehicle crashes, injuries and ...