An in-depth review of machine learning based Android malware detection

Intelligent mobile malware detection using permission requests and API calls

(2020) Moutaz Alazab et al.   Future Generation Computer Systems-The International Journal of eScience

SaaS: A situational awareness and analysis system for massive android malware detection

(2019) Yaocheng Zhang et al.   Future Generation Computer Systems-The International Journal of eScience

MADAM: Effective and Efficient Behavior-based Android Malware Detection and Prevention

(2018) Andrea Saracino et al.   IEEE Transactions on Dependable and Secure Computing

Significant Permission Identification for Machine-Learning-Based Android Malware Detection

(2018) Jin Li et al.   IEEE Transactions on Industrial Informatics

A survey of malware behavior description and analysis

(2018) Bo Yu et al.   Frontiers of Information Technology & Electronic Engineering

AndrODet: An adaptive Android obfuscation detector

(2018) O. Mirzaei et al.   Future Generation Computer Systems-The International Journal of eScience

A machine learning based approach to detect malicious android apps using discriminant system calls

(2018) Vinod P. et al.   Future Generation Computer Systems-The International Journal of eScience

DroidCat: Effective Android Malware Detection and Categorization via App-Level Profiling

(2018) Haipeng Cai et al.   IEEE Transactions on Information Forensics and Security

Android malware detection based on system call sequences and LSTM

(2017) Xi Xiao et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Mlifdect: Android Malware Detection Based on Parallel Machine Learning and Information Fusion

(2017) Xin Wang et al.   Security and Communication Networks

Deep learning for visual understanding: A review

(2016) Yanming Guo et al.   NEUROCOMPUTING

Droiddetector: android malware characterization and detection using deep learning

(2016) Zhenlong Yuan et al.   TSINGHUA SCIENCE AND TECHNOLOGY

APK Auditor: Permission-based Android malware detection system

(2015) Kabakus Abdullah Talha et al.   Digital Investigation

Android Security: A Survey of Issues, Malware Penetration, and Defenses

(2015) Parvez Faruki et al.   IEEE Communications Surveys and Tutorials

High accuracy android malware detection using ensemble learning

(2015) Suleiman Y. Yerima et al.   IET Information Security

FlowDroid

(2014) Steven Arzt et al.   ACM SIGPLAN NOTICES

Exploring Permission-Induced Risk in Android Applications for Malicious Application Detection

(2014) Wei Wang et al.   IEEE Transactions on Information Forensics and Security

Static analysis of Android programs

(2012) Étienne Payet et al.   INFORMATION AND SOFTWARE TECHNOLOGY