DroidEncoder: Malware detection using auto-encoder based feature extractor and machine learning algorithms

H Bakır, R Bakır - Computers and Electrical Engineering, 2023 - Elsevier
Android Malware detection became a hot topic over the last several years. Although
considerable studies have been conducted utilizing machine learning-based methods, little …

MFDroid: A stacking ensemble learning framework for Android malware detection

X Wang, L Zhang, K Zhao, X Ding, M Yu - Sensors, 2022 - mdpi.com
As Android is a popular a mobile operating system, Android malware is on the rise, which
poses a great threat to user privacy and security. Considering the poor detection effects of …

A novel permission-based Android malware detection system using feature selection based on linear regression

DÖ Şahin, OE Kural, S Akleylek, E Kılıç - Neural Computing and …, 2023 - Springer
With the developments in mobile and wireless technology, mobile devices have become an
important part of our lives. While Android is the leading operating system in market share, it …

Mlifdect: android malware detection based on parallel machine learning and information fusion

X Wang, D Zhang, X Su, W Li - Security and Communication …, 2017 - Wiley Online Library
In recent years, Android malware has continued to grow at an alarming rate. More recent
malicious apps' employing highly sophisticated detection avoidance techniques makes the …

JOWMDroid: Android malware detection based on feature weighting with joint optimization of weight-mapping and classifier parameters

L Cai, Y Li, Z Xiong - Computers & Security, 2021 - Elsevier
Android malware detection is an important problem that must be urgently studied and
solved. Machine learning-based methods first extract features from applications and then …

A systematic literature review of android malware detection using static analysis

Y Pan, X Ge, C Fang, Y Fan - IEEE Access, 2020 - ieeexplore.ieee.org
Android malware has been in an increasing trend in recent years due to the pervasiveness
of Android operating system. Android malware is installed and run on the smartphones …

A review of android malware detection approaches based on machine learning

K Liu, S Xu, G Xu, M Zhang, D Sun, H Liu - IEEE access, 2020 - ieeexplore.ieee.org
Android applications are developing rapidly across the mobile ecosystem, but Android
malware is also emerging in an endless stream. Many researchers have studied the …

A two-layer deep learning method for android malware detection using network traffic

J Feng, L Shen, Z Chen, Y Wang, H Li - Ieee Access, 2020 - ieeexplore.ieee.org
Because of the characteristic of openness and flexibility, Android has become the most
popular mobile platform. However, it has also become the most targeted system by mobile …

AMD‐CNN: Android malware detection via feature graph and convolutional neural networks

RS Arslan, M Tasyurek - Concurrency and Computation …, 2022 - Wiley Online Library
Android malware has become a serious threat to mobile device users, and effective
detection and defence architectures are needed to solve this problem. Recently, machine …

A systematic overview of android malware detection

L Meijin, F Zhiyang, W Junfeng, C Luyu… - Applied Artificial …, 2022 - Taylor & Francis
Due to the completely open-source nature of Android, the exploitable vulnerability of
malware attacks is increasing. To stay ahead of other similar review work attempting to deal …