A survey of app store analysis for software engineering

W Martin, F Sarro, Y Jia, Y Zhang… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
App Store Analysis studies information about applications obtained from app stores. App
stores provide a wealth of information derived from users that would not exist had the …

Static analysis of android apps: A systematic literature review

L Li, TF Bissyandé, M Papadakis, S Rasthofer… - Information and …, 2017 - Elsevier
Context Static analysis exploits techniques that parse program source code or bytecode,
often traversing program paths to check some program properties. Static analysis …

Flowdroid: Precise context, flow, field, object-sensitive and lifecycle-aware taint analysis for android apps

S Arzt, S Rasthofer, C Fritz, E Bodden, A Bartel… - ACM sigplan …, 2014 - dl.acm.org
Today's smartphones are a ubiquitous source of private and confidential data. At the same
time, smartphone users are plagued by carelessly programmed apps that leak important …

Pscout: analyzing the android permission specification

KWY Au, YF Zhou, Z Huang, D Lie - … of the 2012 ACM conference on …, 2012 - dl.acm.org
Modern smartphone operating systems (OSs) have been developed with a greater
emphasis on security and protecting privacy. One of the mechanisms these systems use to …

[PDF][PDF] A machine-learning approach for classifying and categorizing android sources and sinks.

S Rasthofer, S Arzt, E Bodden - NDSS, 2014 - bodden.de
Today's smartphone users face a security dilemma: many apps they install operate on
privacy-sensitive data, although they might originate from developers whose trustworthiness …

Third party tracking in the mobile ecosystem

R Binns, U Lyngs, M Van Kleek, J Zhao… - Proceedings of the 10th …, 2018 - dl.acm.org
Third party tracking allows companies to identify users and track their behaviour across
multiple digital services. This paper presents an empirical study of the prevalence of third …

A new android malware detection approach using bayesian classification

SY Yerima, S Sezer, G McWilliams… - 2013 IEEE 27th …, 2013 - ieeexplore.ieee.org
Mobile malware has been growing in scale and complexity as smartphone usage continues
to rise. Android has surpassed other mobile platforms as the most popular whilst also …

Evolution, detection and analysis of malware for smart devices

G Suarez-Tangil, JE Tapiador… - … surveys & tutorials, 2013 - ieeexplore.ieee.org
Smart devices equipped with powerful sensing, computing and networking capabilities have
proliferated lately, ranging from popular smartphones and tablets to Internet appliances …

High accuracy android malware detection using ensemble learning

SY Yerima, S Sezer, I Muttik - IET Information Security, 2015 - Wiley Online Library
With over 50 billion downloads and more than 1.3 million apps in Google's official market,
Android has continued to gain popularity among smartphone users worldwide. At the same …

The impact of api change-and fault-proneness on the user ratings of android apps

G Bavota, M Linares-Vasquez… - IEEE Transactions …, 2014 - ieeexplore.ieee.org
The mobile apps market is one of the fastest growing areas in the information technology. In
digging their market share, developers must pay attention to building robust and reliable …