AdMat: A CNN-on-matrix approach to Android malware detection and classification
The availability of big data and affordable hardware have enabled the applications of deep
learning on different tasks. With respect to security, several attempts have been made to …
learning on different tasks. With respect to security, several attempts have been made to …
EfficientNet convolutional neural networks-based Android malware detection
Owing to the increasing number and complexity of malware threats, research on automated
malware detection has become a hot topic in the field of network security. Traditional …
malware detection has become a hot topic in the field of network security. Traditional …
Deep neural architectures for large scale android malware analysis
Android is arguably the most widely used mobile operating system in the world. Due to its
widespead use and huge user base, it has attracted a lot of attention from the unsavory …
widespead use and huge user base, it has attracted a lot of attention from the unsavory …
A survey of android malware detection with deep neural models
Deep Learning (DL) is a disruptive technology that has changed the landscape of cyber
security research. Deep learning models have many advantages over traditional Machine …
security research. Deep learning models have many advantages over traditional Machine …
Didroid: Android malware classification and characterization using deep image learning
The unrivaled threat of android malware is the root cause of various security problems on
the internet. Although there are remarkable efforts in detection and classification of android …
the internet. Although there are remarkable efforts in detection and classification of android …
[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 …
DeepVisDroid: android malware detection by hybridizing image-based features with deep learning techniques
In this paper, a novel hybrid deep learning model called DeepVisDroid has been suggested
for detecting android malware samples based on hybridizing image-based features with …
for detecting android malware samples based on hybridizing image-based features with …
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 …
An enhanced deep learning neural network for the detection and identification of android malware
Android-based mobile devices have attracted a large number of users because they are
easy to use and possess a wide range of capabilities. Because of its popularity, Android has …
easy to use and possess a wide range of capabilities. Because of its popularity, Android has …
An automated vision-based deep learning model for efficient detection of android malware attacks
Recently, cybersecurity experts and researchers have given special attention to developing
cost-effective deep learning (DL)-based algorithms for Android malware detection (AMD) …
cost-effective deep learning (DL)-based algorithms for Android malware detection (AMD) …