Evaluation of machine learning classifiers for mobile malware detection

FA Narudin, A Feizollah, NB Anuar, A Gani - Soft Computing, 2016 - Springer
Mobile devices have become a significant part of people's lives, leading to an increasing
number of users involved with such technology. The rising number of users invites hackers …

[HTML][HTML] Android malware category detection using a novel feature vector-based machine learning model

HHR Manzil, S Manohar Naik - Cybersecurity, 2023 - Springer
Malware attacks on the Android platform are rapidly increasing due to the high consumer
adoption of Android smartphones. Advanced technologies have motivated cyber-criminals to …

An efficient malware detection approach with feature weighting based on Harris Hawks optimization

OA Alzubi, JA Alzubi, AM Al-Zoubi, MA Hassonah… - Cluster …, 2022 - Springer
This paper introduces and tests a novel machine learning approach to detect Android
malware. The proposed approach is composed of Support Vector Machine (SVM) classifier …

Discovering optimal features using static analysis and a genetic search based method for Android malware detection

A Firdaus, NB Anuar, A Karim, MFA Razak - Frontiers of Information …, 2018 - Springer
Mobile device manufacturers are rapidly producing miscellaneous Android versions
worldwide. Simultaneously, cyber criminals are executing malicious actions, such as …

[PDF][PDF] A study of android malware detection techniques and machine learning

B Baskaran, A Ralescu - 2016 - academia.edu
Android OS is one of the widely used mobile Operating Systems. The number of malicious
applications and adwares are increasing constantly on par with the number of mobile …

DeepAMD: Detection and identification of Android malware using high-efficient Deep Artificial Neural Network

SI Imtiaz, S ur Rehman, AR Javed, Z Jalil, X Liu… - Future Generation …, 2021 - Elsevier
Android smartphones are being utilized by a vast majority of users for everyday planning,
data exchanges, correspondences, social interaction, business execution, bank …

Machine learning classifiers for android malware detection

P Agrawal, B Trivedi - … , Analytics and Innovation: Proceedings of ICDMAI …, 2021 - Springer
With the growing popularity of Android devices, it is also more prone to malware attacks.
There are many malware scanning tools available for scanning the Android Malware but …

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 …

[HTML][HTML] FSDroid:-A feature selection technique to detect malware from Android using Machine Learning Techniques: FSDroid

A Mahindru, AL Sangal - Multimedia Tools and Applications, 2021 - Springer
With the recognition of free apps, Android has become the most widely used smartphone
operating system these days and it naturally invited cyber-criminals to build malware …

[HTML][HTML] A comprehensive survey on machine learning techniques for android malware detection

V Kouliaridis, G Kambourakis - Information, 2021 - mdpi.com
Year after year, mobile malware attacks grow in both sophistication and diffusion. As the
open source Android platform continues to dominate the market, malware writers consider it …