Comparative Analysis of Feature Selection Methods for Detection of Android Malware
Over the past few years, Android has been found to be the most prevalent operating system.
The increase in the adoption of Android by users has led to many security issues. The …
The increase in the adoption of Android by users has led to many security issues. The …
[HTML][HTML] A multi-tiered feature selection model for android malware detection based on Feature discrimination and Information Gain
With the rise in popularity and its open system architecture, Android has become vulnerable
to malicious attacks. There are several malware detection approaches available to fortify the …
to malicious attacks. There are several malware detection approaches available to fortify the …
Multimodal Feature Selection for Android Malware Detection Classifiers
J Divya, J Nithishram, P Naveenji - … International Conference on …, 2022 - ieeexplore.ieee.org
Android applications are fast evolving across the mobile ecosystem, yet Android malware is
always emerging. Many researchers have looked into the issue of Android malware …
always emerging. Many researchers have looked into the issue of Android malware …
Android malware detection applying feature selection techniques and machine learning
MR Keyvanpour, M Barani Shirzad… - Multimedia Tools and …, 2023 - Springer
Android operating system is known as one of the most popular mobile operating systems.
The malware intrusion increases in the same pace as the production of applicable software …
The malware intrusion increases in the same pace as the production of applicable software …
A novel Android malware detection system: adaption of filter-based feature selection methods
Android is the most preferred mobile operating system in the world. Applications are
available from both official application repositories and other application stores. For these …
available from both official application repositories and other application stores. For these …
Impact of Feature Selection Algorithms in Detecting Android Malware Using Machine Learning Over Permissions and API's
B Ahmad Mantoo, Z Ali Khan N - International Journal of …, 2024 - journals.uob.edu.bh
In recent times, an upsurge of highly sophisticated and intricate malware has emerged,
becoming one of the most insidious and perilous attack techniques targeting critical …
becoming one of the most insidious and perilous attack techniques targeting critical …
Assessing the efficacy of Machine learning classifier for Android malware detection
H Misalkar, P Harshavardhanan - Journal of Integrated …, 2024 - pubs.thesciencein.org
The primary challenges faced by software security experts is the identification and detection
of malware within Android applications, as dangerous software is increasingly being …
of malware within Android applications, as dangerous software is increasingly being …
Hybrid Feature Selection Model for Detection of Android Malware and Family Classification
Android OS based applications offer services in various aspects of our daily lives such as
banking, personal, professional, social, etc. Increased usage of Android applications makes …
banking, personal, professional, social, etc. Increased usage of Android applications makes …
Analysis of Feature Selection Methods for Android Malware Detection Using Machine Learning Techniques
The simplicity, user-friendly environment, and popularity of Android phones have increased
the risk of cyber-attacks on Android devices. A variety of applications containing malicious …
the risk of cyber-attacks on Android devices. A variety of applications containing malicious …
[PDF][PDF] Machine learning-based framework for automatic malware detection using android traffic data
One of the greatest challenges facing various organizations and institutions is information
security. Attackers have devised means to steals mobile user identity by developing …
security. Attackers have devised means to steals mobile user identity by developing …