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Toward Automatically Generating Privacy Policy for Android Apps
2017
IEEE Transactions on Information Forensics and Security
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In this paper, we propose and develop a novel system named AutoPPG to automatically construct correct and readable descriptions to facilitate the generation of privacy policy for Android applications ( ...
The experimental results using real apps and crowdsourcing indicate that: 1) AutoPPG creates correct and easy-to-understand descriptions for privacy policies; 2) the privacy policies constructed by AutoPPG ...
ACKNOWLEDGMENT The authors thank the anonymous reviewers for their quality reviews and suggestions. ...
doi:10.1109/tifs.2016.2639339
fatcat:ueyoyxrkrremlalfgvth3f7rdy
Toward an Android Static Analysis Approach for Data Protection
[article]
2024
arXiv
pre-print
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This paper motivates the need for a static analysis approach to diagnose and explain data protection in Android apps. ...
This is a first step towards designing a tool-based approach that aids app developers and assessors in ensuring data protection in Android apps, based on automated static program analysis. ...
A recent study by Mozilla [6] has revealed discrepancies between the information reported in data safety sections and privacy policies of Android apps. ...
arXiv:2402.07889v1
fatcat:k2vkt5czurezvif5giewps5ao4
Availability and quality of mobile health app privacy policies
2014
JAMIA Journal of the American Medical Informatics Association
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All authors wrote the manuscript, and were responsible for the research concept and design as well as critical revision of the manuscript, and approved the final version. ...
Table 1 : 1 Privacy policy scope for iOS and Android apps Store
iOS, N (%) Android, N (%)
Privacy policy scope
Single app
4 (3.5)
10 (14.7)
Multiple apps
6 (5.2)
9 (13.2)
Backend application ...
We surveyed the 300 most frequently rated apps in our sample for privacy policies in the iOS as well as the Android app store. ...
doi:10.1136/amiajnl-2013-002605
pmid:25147247
fatcat:7h65xy7hhzbzph2gp25duybcou
Collaborative privacy management
2014
Proceedings of the ACM MobiCom workshop on Security and privacy in mobile environments - SPME '14
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Based on individual privacy policies specified by each user, a collaborative privacy policy is generated and enforced on different devices automatically. ...
To address such problems, we introduce a collaborative privacy management framework, which aims to provide fine-grained data privacy protection for both data owners and data involvers in a distributed ...
We will investigate the possibility of automatic co-policy generation in future work. ...
doi:10.1145/2646584.2646590
dblp:conf/mobicom/GuoZC14
fatcat:noqujzrsv5h33grfqin7ehk7cm
Mobile App Privacy in Software Engineering Research: A Systematic Mapping Study
[article]
2019
arXiv
pre-print
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Such privacy-invading practices have generated major multidimensional and unconventional privacy concerns among app users. ...
In general, this line of research is aimed at systematically exposing the privacy practices of apps and proposing solutions to protect the privacy of mobile app users. ...
PPCkecker [22] Privacy Policy A tool for assessing the trustworthiness of the Android apps' privacy policies. ...
arXiv:1910.03622v1
fatcat:tbs4ogqqcjhyhdgylmdymttozu
Understanding Users' Behavior towards Applications Privacy Policies
2022
Electronics
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Smartphone operating systems such as Android and iOS have made it possible for anyone with development skills to create apps for smartphones. ...
The apps were live for more than 12 months and data were collected through Play Store analytics as well as the apps' policy page. ...
behavior toward the privacy of their Android smartphones. ...
doi:10.3390/electronics11020246
fatcat:e4jsoyjer5ha3mhkh66oqf5jhy
Android Security using NLP Techniques: A Review
[article]
2021
arXiv
pre-print
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We mainly focus on NLP-based solutions under four categories: description-to-behaviour fidelity, description generation, privacy and malware detection. ...
In addition to the application code, Android applications have some metadata that could be useful for security analysis of applications. ...
The authors would like to thank TUBITAK for its support. ...
arXiv:2107.03072v1
fatcat:yo3qc3w5jbhu7kb6db76hq2d2e
Toward a framework for detecting privacy policy violations in android application code
2016
Proceedings of the 38th International Conference on Software Engineering - ICSE '16
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Our empirical evaluation on 477 top Android apps discovered 341 potential privacy policy violations. ...
To help mobile-app developers check their privacy policies against their apps' code for consistency, we propose a semi-automated framework that consists of a policy terminology-API method map that links ...
Based on the automatic downloading and file format filtering, we collected privacy policies for 477 of the 1,096 apps, and thus generated a data set with 477 apps and their corresponding privacy policies ...
doi:10.1145/2884781.2884855
dblp:conf/icse/SlavinWHHKBBN16
fatcat:amncvqee25bm5kp2dhniedugie
Influencing User's Behavior Concerning Android Privacy Policy: An Overview
2021
Mobile Information Systems
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The current study has presented an overview of the existing approaches, methods, and tools used for influencing user behavior concerning android privacy policy. ...
Reusable resources are available in the form of third-party libraries, which are broadly active in android apps. It provides a diversity of functions that deliver privacy and security concerns. ...
of this study serve as the foundation for future research in which the rationales for harmful permissions will be derived automatically from Android app privacy rules. ...
doi:10.1155/2021/3452700
fatcat:kojuiqdcgvezvgomn4zbf5ffba
Android Permissions Management at App Installing
2016
International Journal of Security and Its Applications
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Android based smartphone users' privacy has been a hot issue recently in public concerns due to various instances of security attacks and privacy leakage on Android platform. ...
But those automatic tools never assessed end user's expectation about permissions perfectly. ...
Similarly, Kirin and Saint both used a security policy for automatic decision at installation. ...
doi:10.14257/ijsia.2016.10.3.21
fatcat:b7qyeknax5dphjt6zsrloxocai
A privacy enforcing framework for Android applications
2016
Computers & security
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For example, access to the user location may be done using multiple API methods that should be instrumented and controlled according to the user selected privacy policies. ...
Our approach relies on instrumentation techniques and includes a refinement step where high-level resource-centric abstract policies defined by users are automatically refined to enforceable concrete policies ...
Fig. 10 - 10 Specification of abstract policy and concrete policies automatically generated. ...
doi:10.1016/j.cose.2016.07.005
fatcat:clbwa5ix5fayrbjwpxqarkn53u
Mobile Mental Health Apps: Alternative Intervention or Intrusion?
[article]
2022
arXiv
pre-print
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We conducted a multifold study of - 1) Privacy Policies (Manually and with Polisis, an automated framework to evaluate privacy policies); 2) App permissions; 3) Static Analysis for inherent security issues ...
MMH apps need better scrutiny and regulation for more widespread usage to meet the increasing need for mental health care without being intrusive to the already vulnerable population. ...
Robillard et al. focus on privacy policies and terms of agreements covering 319 MMH apps for both Android and iOS platforms. ...
arXiv:2206.10728v2
fatcat:lzeb3i476zf53gf6cfpdnwdcbe
Software engineering techniques for statically analyzing mobile apps: research trends, characteristics, and potential for industrial adoption
2021
Journal of Internet Services and Applications
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The results of this study give a solid foundation for assessing existing and future approaches for static analysis of mobile apps, especially in terms of their industrial adoptability.Researchers and practitioners ...
static analysis of mobile apps. ...
We established the need for performing a review on static analysis of mobile app (Section 3), we identified the main research questions (Section 4.1), and we defined the protocol to be followed by the ...
doi:10.1186/s13174-021-00134-x
fatcat:mlzjbkdi7fhezisn3tcv7wzlbi
Do You Get What You Pay For? Comparing The Privacy Behaviors of Free vs. Paid Apps
2019
Zenodo
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It is commonly assumed that the availability of "free" mobile apps comes at the cost of consumer privacy, and that paying for apps could offer consumers protection from behavioral advertising and long-term ...
Our exploration of privacy policies reveals that only 45% of the pairs provide a privacy policy of some sort, and less than 1% of the pairs overall have policies that differ between free and paid versions ...
Privacy Policies: We obtained privacy policies for apps in our corpus by following the "Privacy Policy" link on each app's Play Store listing. ...
doi:10.5281/zenodo.3441929
fatcat:oz4u4b4kfzafjhxzif6irybpjm
Analysis of Diabetes Apps to Assess Privacy-Related Permissions: Systematic Search of Apps
2021
JMIR Diabetes
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In addition, 28.4% (141/497) of the apps did not provide a website for their privacy policy. ...
The aim of this study was to assess the levels of privacy of mobile apps for diabetes to contribute to the raising of awareness of privacy issues for app users, developers, and governmental data protection ...
Other research has investigated privacy aspects in generic mHealth apps [12, 21] . ...
doi:10.2196/16146
pmid:33439129
pmcid:PMC7840294
fatcat:amfp6wlbrjaodiqp7fzqwazaw4
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