A method for automatic android malware detection based on static analysis and deep learning

M İbrahim, B Issa, MB Jasser - IEEE Access, 2022 - ieeexplore.ieee.org
The computers nowadays are being replaced by the smartphones for the most of the internet
users around the world, and Android is getting the most of the smartphone systems' market …

Detection of android malware using machine learning

AH El Fiky, A Elshenawy… - 2021 International Mobile …, 2021 - ieeexplore.ieee.org
Nowadays, smartphones became an integral part of human life due to the great necessity for
their daily activities. Most smartphone users are downloading and installing mobile apps …

A Machine Learning Approach for Real Time Android Malware Detection

NC Lê, TM Nguyen, T Truong… - … on Computing and …, 2020 - ieeexplore.ieee.org
Smart mobile devices are increasingly popular and common in modern life. The vast
majority of these use Android-an open operating system developed by Android Inc., which …

Evaluating machine learning models for Android malware detection: A comparison study

MS Rana, C Gudla, AH Sung - Proceedings of the 2018 VII International …, 2018 - dl.acm.org
Android is the most popular mobile operating system having billions of active users
worldwide that attracted advertisers, hackers, and cybercriminals to develop malware for …

Deep learning based malware detection for android systems: A Comparative Analysis

E Calik Bayazit, O Koray Sahingoz, B Dogan - Tehnički vjesnik, 2023 - hrcak.srce.hr
Sažetak Nowadays, cyber attackers focus on Android, which is the most popular open-
source operating system, as main target by applying some malicious software (malware) to …

Detection of malicious android applications: Classical machine learning vs. deep neural network integrated with clustering

H Rathore, SK Sahay, S Thukral, M Sewak - International conference on …, 2020 - Springer
Today anti-malware community is facing challenges due to ever-increasing sophistication
and volume of malware attacks developed by adversaries. Traditional malware detection …

BrainShield: a hybrid machine learning-based malware detection model for android devices

C Rodrigo, S Pierre, R Beaubrun, F El Khoury - Electronics, 2021 - mdpi.com
Android has become the leading operating system for mobile devices, and the most targeted
one by malware. Therefore, many analysis methods have been proposed for detecting …

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 survey of intelligent techniques for Android malware detection

R Kumars, M Alazab, WY Wang - Malware Analysis Using Artificial …, 2021 - Springer
The revolution of smart devices such as smartphones, smart washing machines, smart cars
is increasing every year, as these devices are provided connected with the network and …

Shieldroid: A hybrid approach integrating machine and deep learning for android malware detection

MF Ahmed, ZT Biash, AR Shakil… - … on Decision Aid …, 2022 - ieeexplore.ieee.org
Due to the rapid development of the advanced world of technology, there is a high increase
in devices such as smart-phones and tablets, which increase the number of applications …