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 develo** 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 …
Android source code vulnerability detection: a systematic literature review
The use of mobile devices is rising daily in this technological era. A continuous and
increasing number of mobile applications are constantly offered on mobile marketplaces to …
increasing number of mobile applications are constantly offered on mobile marketplaces to …
Android mobile malware detection using machine learning: A systematic review
With the increasing use of mobile devices, malware attacks are rising, especially on Android
phones, which account for 72.2% of the total market share. Hackers try to attack …
phones, which account for 72.2% of the total market share. Hackers try to attack …
[PDF][PDF] Efficiency of malware detection in android system: A survey
Smart phones are becoming essential in our lives, and Android is one of the most popular
operating systems. Android OS is wide-ranging in the mobile industry today because of its …
operating systems. Android OS is wide-ranging in the mobile industry today because of its …
[HTML][HTML] A Bayesian probability model for Android malware detection
The unprecedented growth of mobile technology has generated an increase in malware and
raised concerns over malware threats. Different approaches have been adopted to …
raised concerns over malware threats. Different approaches have been adopted to …
Towards a systematic description of the field using bibliometric analysis: malware evolution
Malware is a blanket term for Trojan, viruses, spyware, worms, and other files that are
purposely created to harm computers, mobile devices, or computer networks. Malware …
purposely created to harm computers, mobile devices, or computer networks. Malware …
[PDF][PDF] A comparative study on machine learning and deep learning methods for malware detection
ABSTRACT The advent of Artificial Intelligence (AI) and data science with Machine Learning
(ML) and deep learning techniques has paved way for solving many real world problems …
(ML) and deep learning techniques has paved way for solving many real world problems …
A method for class-imbalance learning in android malware detection
J Guan, X Jiang, B Mao - Electronics, 2021 - mdpi.com
More and more Android application developers are adopting many different methods
against reverse engineering, such as adding a shell, resulting in certain features that cannot …
against reverse engineering, such as adding a shell, resulting in certain features that cannot …
Android Permission Classifier: a deep learning algorithmic framework based on protection and threat levels
Recent works demonstrated that Android is the fastest growing mobile OS with the highest
number of users worldwide. Android's popularity is facilitated by factors such as ease of use …
number of users worldwide. Android's popularity is facilitated by factors such as ease of use …
An Analysis of Machine Learning-Based Android Malware Detection Approaches
Despite the fact that Android apps are rapidly expanding throughout the mobile ecosystem,
Android malware continues to emerge. Malware operations are on the rise, particularly on …
Android malware continues to emerge. Malware operations are on the rise, particularly on …