A survey of machine learning for big code and naturalness
Research at the intersection of machine learning, programming languages, and software
engineering has recently taken important steps in proposing learnable probabilistic models …
engineering has recently taken important steps in proposing learnable probabilistic models …
A survey of app store analysis for software engineering
App Store Analysis studies information about applications obtained from app stores. App
stores provide a wealth of information derived from users that would not exist had the …
stores provide a wealth of information derived from users that would not exist had the …
[HTML][HTML] DL-Droid: Deep learning based android malware detection using real devices
The Android operating system has been the most popular for smartphones and tablets since
2012. This popularity has led to a rapid raise of Android malware in recent years. The …
2012. This popularity has led to a rapid raise of Android malware in recent years. The …
PermPair: Android Malware Detection Using Permission Pairs
The Android smartphones are highly prone to spreading the malware due to intrinsic
feebleness that permits an application to access the internal resources when the user grants …
feebleness that permits an application to access the internal resources when the user grants …
A systematic literature review of android malware detection using static analysis
Android malware has been in an increasing trend in recent years due to the pervasiveness
of Android operating system. Android malware is installed and run on the smartphones …
of Android operating system. Android malware is installed and run on the smartphones …
Droidfusion: A novel multilevel classifier fusion approach for android malware detection
Android malware has continued to grow in volume and complexity posing significant threats
to the security of mobile devices and the services they enable. This has prompted increasing …
to the security of mobile devices and the services they enable. This has prompted increasing …
A multimodal malware detection technique for Android IoT devices using various features
Internet of things (IoT) is revolutionizing this world with its evolving applications in various
aspects of life such as sensing, healthcare, remote monitoring, and so on. Android devices …
aspects of life such as sensing, healthcare, remote monitoring, and so on. Android devices …
R2-d2: Color-inspired convolutional neural network (cnn)-based android malware detections
TT Hsien-De Huang, HY Kao - 2018 IEEE international …, 2018 - ieeexplore.ieee.org
The influence of Deep Learning on image identification and natural language processing
has attracted enormous attention globally. The convolution neural network that can learn …
has attracted enormous attention globally. The convolution neural network that can learn …
A TAN based hybrid model for android malware detection
R Surendran, T Thomas, S Emmanuel - Journal of Information Security and …, 2020 - Elsevier
Android devices are very popular because of their availability at reasonable prices.
However, there is a rapid rise of malware applications in Android platform in the recent past …
However, there is a rapid rise of malware applications in Android platform in the recent past …
Malicious application detection in android—a systematic literature review
Context: In last decade, due to tremendous usage of smart phones it seems that these
gadgets became an essential necessity of day-to-day life. People are using new …
gadgets became an essential necessity of day-to-day life. People are using new …