Exploring permission-induced risk in android applications for malicious application detection

W Wang, X Wang, D Feng, J Liu… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Android has been a major target of malicious applications (malapps). How to detect and
keep the malapps out of the app markets is an ongoing challenge. One of the central design …

Quantitative security risk assessment of android permissions and applications

Y Wang, J Zheng, C Sun, S Mukkamala - … XXVII: 27th Annual IFIP WG 11.3 …, 2013 - Springer
The booming of the Android platform in recent years has attracted the attention of malware
developers. However, the permissions-based model used in Android system to prevent the …

Android permissions: a perspective combining risks and benefits

BP Sarma, N Li, C Gates, R Potharaju… - Proceedings of the 17th …, 2012 - dl.acm.org
The phenomenal growth of the Android platform in the past few years has made it a lucrative
target of malicious application (app) developers. There are numerous instances of malware …

Android application classification and anomaly detection with graph-based permission patterns

K Sokolova, C Perez, M Lemercier - Decision Support Systems, 2017 - Elsevier
Android is one of the mobile market leaders, offering more than a million applications on
Google Play store. Google checks the application for known malware, but applications …

MalPat: Mining patterns of malicious and benign Android apps via permission-related APIs

G Tao, Z Zheng, Z Guo, MR Lyu - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
The dramatic rise of Android application (app) marketplaces has significantly gained the
success of convenience for mobile users. Consequently, with the advantage of numerous …

Constructing features for detecting android malicious applications: issues, taxonomy and directions

W Wang, M Zhao, Z Gao, G Xu, H Xian, Y Li… - IEEE …, 2019 - ieeexplore.ieee.org
The number of applications (apps) available for smart devices or Android based IoT (Internet
of Things) has surged dramatically over the past few years. Meanwhile, the volume of ill …

Dynamic permissions based android malware detection using machine learning techniques

A Mahindru, P Singh - Proceedings of the 10th innovations in software …, 2017 - dl.acm.org
Android is by far the most widely used mobile phone operating system around. However,
Android based applications are highly vulnerable to various types of malware attacks …

Merging permission and api features for android malware detection

M Qiao, AH Sung, Q Liu - 2016 5th IIAI international congress …, 2016 - ieeexplore.ieee.org
The prosperity of mobile devices have been rapidly and drastically reforming the use pattern
and of user habits with computing devices. Android, the most popular mobile operating …

Detecting Android malicious apps and categorizing benign apps with ensemble of classifiers

W Wang, Y Li, X Wang, J Liu, X Zhang - Future generation computer …, 2018 - Elsevier
Android platform has dominated the markets of smart mobile devices in recent years. The
number of Android applications (apps) has seen a massive surge. Unsurprisingly, Android …

Characterizing Android apps' behavior for effective detection of malapps at large scale

X Wang, W Wang, Y He, J Liu, Z Han… - Future generation …, 2017 - Elsevier
Android malicious applications (malapps) have surged and been sophisticated, posing a
great threat to users. How to characterize, understand and detect Android malapps at a large …