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How Dangerous Are Your Smartphones? App Usage Recommendation with Privacy Preserving
Joint Authors
Zhang, Lin
Zhu, Konglin
He, Xiaoman
Xiang, Bin
Pattavina, Achille
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-06-27
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Telecommunications Engineering
Abstract EN
With the rapid proliferation of mobile devices, explosive mobile applications (apps) are developed in the past few years.
However, the functions of mobile apps are varied and the designs of them are not well understood by end users, especially the activities and functions related to user privacy.
Therefore, understanding how much danger of mobile apps with respect to privacy violation to mobile users is becomes a critical issue when people use mobile devices.
In this paper, we evaluate the mobile app privacy violation of mobile users by computing the danger coefficient.
In order to help people reduce the privacy leakage, we combine both the user preference to mobile apps and the privacy risk of apps and propose a mobile app usage recommendation method named AppURank to recommend the secure apps with the same function as the “dangerous” one for people use.
The evaluation results show that our recommendation can reduce the privacy leakage by 50%.
American Psychological Association (APA)
Zhu, Konglin& He, Xiaoman& Xiang, Bin& Zhang, Lin& Pattavina, Achille. 2016. How Dangerous Are Your Smartphones? App Usage Recommendation with Privacy Preserving. Mobile Information Systems،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1111576
Modern Language Association (MLA)
Zhu, Konglin…[et al.]. How Dangerous Are Your Smartphones? App Usage Recommendation with Privacy Preserving. Mobile Information Systems No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1111576
American Medical Association (AMA)
Zhu, Konglin& He, Xiaoman& Xiang, Bin& Zhang, Lin& Pattavina, Achille. How Dangerous Are Your Smartphones? App Usage Recommendation with Privacy Preserving. Mobile Information Systems. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1111576
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1111576