Android security: a survey of issues, malware penetration, and defenses

P Faruki, A Bharmal, V Laxmi… - … surveys & tutorials, 2014 - ieeexplore.ieee.org
Smartphones have become pervasive due to the availability of office applications, Internet,
games, vehicle guidance using location-based services apart from conventional services …

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 …

A multimodal deep learning method for android malware detection using various features

TG Kim, BJ Kang, M Rho, S Sezer… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
With the widespread use of smartphones, the number of malware has been increasing
exponentially. Among smart devices, android devices are the most targeted devices by …

Security analysis of emerging smart home applications

E Fernandes, J Jung, A Prakash - 2016 IEEE symposium on …, 2016 - ieeexplore.ieee.org
Recently, several competing smart home programming frameworks that support third party
app development have emerged. These frameworks provide tangible benefits to users, but …

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 …

Amandroid: A precise and general inter-component data flow analysis framework for security vetting of android apps

F Wei, S Roy, X Ou, Robby - ACM Transactions on Privacy and Security …, 2018 - dl.acm.org
We present a new approach to static analysis for security vetting of Android apps and a
general framework called Amandroid. Amandroid determines points-to information for all …

Iccta: Detecting inter-component privacy leaks in android apps

L Li, A Bartel, TF Bissyandé, J Klein… - 2015 IEEE/ACM 37th …, 2015 - ieeexplore.ieee.org
Shake Them All is a popular" Wallpaper" application exceeding millions of downloads on
Google Play. At installation, this application is given permission to (1) access the Internet (for …

Effective android malware detection with a hybrid model based on deep autoencoder and convolutional neural network

W Wang, M Zhao, J Wang - Journal of Ambient Intelligence and …, 2019 - Springer
Android security incidents occurred frequently in recent years. To improve the accuracy and
efficiency of large-scale Android malware detection, in this work, we propose a hybrid model …

Mamadroid: Detecting android malware by building markov chains of behavioral models (extended version)

L Onwuzurike, E Mariconti, P Andriotis… - ACM Transactions on …, 2019 - dl.acm.org
As Android has become increasingly popular, so has malware targeting it, thus motivating
the research community to propose different detection techniques. However, the constant …

Reliable third-party library detection in android and its security applications

M Backes, S Bugiel, E Derr - Proceedings of the 2016 ACM SIGSAC …, 2016 - dl.acm.org
Third-party libraries on Android have been shown to be security and privacy hazards by
adding security vulnerabilities to their host apps or by misusing inherited access rights …