Multimodal dual-embedding networks for malware open-set recognition
Malware open-set recognition (MOSR) is an emerging research domain that aims at jointly
classifying malware samples from known families and detecting the ones from novel …
classifying malware samples from known families and detecting the ones from novel …
MalDetect: A classifier fusion approach for detection of android malware
M Dhalaria, E Gandotra - Expert Systems with Applications, 2024 - Elsevier
Android has been a significant target of malware applications due to the exponential growth
of mobile devices. This may result in severe threats to Android users such as financial loss …
of mobile devices. This may result in severe threats to Android users such as financial loss …
A comprehensive review on permissions-based Android malware detection
The first Android-ready “G1” phone debuted in late October 2008. Since then, the growth of
Android malware has been explosive, analogous to the rise in the popularity of Android. The …
Android malware has been explosive, analogous to the rise in the popularity of Android. The …
PermDroid a framework developed using proposed feature selection approach and machine learning techniques for Android malware detection
The challenge of developing an Android malware detection framework that can identify
malware in real-world apps is difficult for academicians and researchers. The vulnerability …
malware in real-world apps is difficult for academicians and researchers. The vulnerability …
Ipanalyzer: A novel Android malware detection system using ranked intents and permissions
Android malware has been growing in scale and complexity, spurred by the unabated
uptake of smartphones worldwide. Millions of malicious Android applications have been …
uptake of smartphones worldwide. Millions of malicious Android applications have been …
DeepMDFC: A deep learning based android malware detection and family classification method
Unprecedented growth and prevalent adoption of the Android Operating System (OS) have
triggered a substantial transformation, not only within the smartphone industry but across …
triggered a substantial transformation, not only within the smartphone industry but across …
An efficient security testing mechanism for Android Apps based on malware analysis and optimized XGBoost
Abstract Security Testing of Android Applications is a difficult issue. Malicious apps are a
threat to the Android platform's security. Traditional solutions are insufficient as the volume of …
threat to the Android platform's security. Traditional solutions are insufficient as the volume of …
Innovative Approach to Android Malware Detection: Prioritizing Critical Features Using Rough Set Theory
The widespread integration of smartphones into modern society has profoundly impacted
various aspects of our lives, revolutionizing communication, work, entertainment, and access …
various aspects of our lives, revolutionizing communication, work, entertainment, and access …
DCDroid: An APK Static Identification Method Based on Naïve Bayes Classifier and Dual‐Centrality Analysis
L Han, P Chen, W Liao - IET Information Security, 2024 - Wiley Online Library
The static scanning identification of android application packages (APK) has been widely
proven to be an effective and scalable method. However, the existing identification methods …
proven to be an effective and scalable method. However, the existing identification methods …
Enhancing android application security: A novel approach using DroidXGB for malware detection based on permission analysis
The prevalence of malicious Android applications targeting the platform has introduced
significant challenges in the realm of security testing. Traditional solutions have proven …
significant challenges in the realm of security testing. Traditional solutions have proven …