DroidEncoder: Malware detection using auto-encoder based feature extractor and machine learning algorithms
Android Malware detection became a hot topic over the last several years. Although
considerable studies have been conducted utilizing machine learning-based methods, little …
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 …
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
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 …
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 …
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 …
solved. Machine learning-based methods first extract features from applications and then …
A systematic literature review of android malware detection using static analysis
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 …
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 …
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 …
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 …
detection and defence architectures are needed to solve this problem. Recently, machine …
A systematic overview of android malware detection
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 …
malware attacks is increasing. To stay ahead of other similar review work attempting to deal …
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