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  1. International Workshop on the Engineering of Mobile-Enabled Systems (MOBS).
  2. 2013 1st International Workshop on the Engineering of Mobile-Enabled Systems (MOBS)
  3. Comparing privacy control methods for smartphone platforms
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2013 1st International Workshop on the Engineering of Mobile-Enabled Systems (MOBS)
Title pages
Contents
Foreword
Testing for poor responsiveness in android applications
eMontage: An architecture for rapid integration of situational awareness data at the edge
A model of quality-in-use for service-based mobile ecosystem
Software development processes for mobile systems: Is agile really taking over the business?
A comparison of energy bugs for smartphone platforms
A framework and ontology for mobile sensor platforms in home health management
Comparing privacy control methods for smartphone platforms
Securing static nodes in mobile-enabled systems using a network-layer moving target defense

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Comparing privacy control methods for smartphone platforms

Content Provider IEEE Xplore Digital Library
Author Alhamed, M. Amiri, K. Omari, M. Wei Le
Copyright Year 2013
Description Author affiliation: B. Thomas Golisano Coll. of Comput. & Inf. Sci., Rochester Inst. of Technol., Rochester, NY, USA (Alhamed, M.; Amiri, K.; Omari, M.; Wei Le)
Abstract Nowadays, many important applications are performed through mobile phones. It is essential to ensure that users' private information is not leaked through those applications. In this paper, we perform a comparison on privacy control methods implemented on the Android and iOS platforms based on the Bellotti and Sellen's framework. The comparison helps understand the discrepancies existent between the users' expectations for privacy and the privacy control methods currently implemented in Android and iOS. To better address users' privacy concerns, we propose a programming model for platform designers to improve privacy. Our initial study on 60 privacy bugs show that using the proposed programming models, 14 Android and 5 iOS privacy bugs can be eliminated.
Starting Page 36
Ending Page 41
File Size 330314
Page Count 6
File Format PDF
ISBN 9781467363334
DOI 10.1109/MOBS.2013.6614221
Language English
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date 2013-05-25
Publisher Place USA
Access Restriction Subscribed
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword Privacy Computer bugs Humanoid robots Androids IOS Privacy control methods Smartphone Mobile Android
Content Type Text
Resource Type Article
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