The evolution of android malware and android analysis techniques
With the integration of mobile devices into daily life, smartphones are privy to increasing
amounts of sensitive information. Sophisticated mobile malware, particularly Android …
amounts of sensitive information. Sophisticated mobile malware, particularly Android …
Static analysis of android apps: A systematic literature review
Context Static analysis exploits techniques that parse program source code or bytecode,
often traversing program paths to check some program properties. Static analysis …
often traversing program paths to check some program properties. Static analysis …
A multimodal deep learning method for android malware detection using various features
With the widespread use of smartphones, the number of malware has been increasing
exponentially. Among smart devices, android devices are the most targeted devices by …
exponentially. Among smart devices, android devices are the most targeted devices by …
Effective and efficient hybrid android malware classification using pseudo-label stacked auto-encoder
Android has become the target of attackers because of its popularity. The detection of
Android mobile malware has become increasingly important due to its significant threat …
Android mobile malware has become increasingly important due to its significant threat …
Dynamic android malware category classification using semi-supervised deep learning
Due to the significant threat of Android mobile malware, its detection has become
increasingly important. Despite the academic and industrial attempts, devising a robust and …
increasingly important. Despite the academic and industrial attempts, devising a robust and …
GDroid: Android malware detection and classification with graph convolutional network
The dramatic increase in the number of malware poses a serious challenge to the Android
platform and makes it difficult for malware analysis. In this paper, we propose a novel …
platform and makes it difficult for malware analysis. In this paper, we propose a novel …
Enhancing state-of-the-art classifiers with api semantics to detect evolved android malware
Machine learning (ML) classifiers have been widely deployed to detect Android malware,
but at the same time the application of ML classifiers also faces an emerging problem. The …
but at the same time the application of ML classifiers also faces an emerging problem. The …
[HTML][HTML] MalDozer: Automatic framework for android malware detection using deep learning
Android OS experiences a blazing popularity since the last few years. This predominant
platform has established itself not only in the mobile world but also in the Internet of Things …
platform has established itself not only in the mobile world but also in the Internet of Things …
DeepAMD: Detection and identification of Android malware using high-efficient Deep Artificial Neural Network
Android smartphones are being utilized by a vast majority of users for everyday planning,
data exchanges, correspondences, social interaction, business execution, bank …
data exchanges, correspondences, social interaction, business execution, bank …
Scalable graph-based bug search for firmware images
Because of rampant security breaches in IoT devices, searching vulnerabilities in massive
IoT ecosystems is more crucial than ever. Recent studies have demonstrated that control …
IoT ecosystems is more crucial than ever. Recent studies have demonstrated that control …