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Hopeful hearts: A mobile health care application
TLDR
Mobile based healthcare application `Hopeful Hearts' has been proposed, application which will suggest diet and physical activity based on six input parameters, which is scalable for all Android Based Mobile Devices.
Network Forensics Analysis of iOS Social Networking and Messaging Apps
TLDR
This research tested 70 iOS applications dynamically through network penetration and found that many apps share authorized/unauthorized information of app user in unencrypted form, which can be used to warn app developers about unintentional security holes.
Comparison of Static and Dynamic Analyzer Tools for iOS Applications
TLDR
This paper presents static and dynamic analysis of iOS applications using various tools such as Cycript, iNalyzer and GDB, and presents how a user can perform run time analysis and manipulation of application using these tools.
AD3S: Advanced Driver Drowsiness Detection System using Machine Learning
TLDR
The empirical results demonstrate that the proposed AD3S (Advanced Driver Drowsiness Detection System) is capable of detecting driver's drowsiness with an accuracy of approximately 98% with Bagging classifier.
Disassembling and patching iOS applications at assembly level
TLDR
This paper aims to describe how an analyst can perform reverse engineering of iOS applications by disassembling, decompiling and debugging application's code using Disassembler to discover the vulnerable areas.
Microbiota: A Double-Edged Sword in Cancer Therapy
TLDR
The role played by microbiota in cancer development and how it can be manipulated for tumor targeting, and enhancing cancer therapy is elucidated.
iShield: A Framework for Preserving Privacyof iOS App User
TLDR
iShield is proposed - a privacy preserving framework that can be easily integrated by developers at the time of app creation to enforce privacy with minimal performance overhead and empirical results demonstrate that the approach significantly reduces the privacy disclosure of the user.
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