[HTML][HTML] An in-depth review of machine learning based Android malware detection
It is estimated that around 70% of mobile phone users have an Android device. Due to this
popularity, the Android operating system attracts a lot of malware attacks. The sensitive …
popularity, the Android operating system attracts a lot of malware attacks. The sensitive …
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 …
MAPAS: a practical deep learning-based android malware detection system
A lot of malicious applications appears every day, threatening numerous users. Therefore, a
surge of studies have been conducted to protect users from newly emerging malware by …
surge of studies have been conducted to protect users from newly emerging malware by …
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 …
[HTML][HTML] Kronodroid: time-based hybrid-featured dataset for effective android malware detection and characterization
Android malware evolution has been neglected by the available data sets, thus providing a
static snapshot of a non-stationary phenomenon. The impact of the time variable has not had …
static snapshot of a non-stationary phenomenon. The impact of the time variable has not had …
SAMADroid: a novel 3-level hybrid malware detection model for android operating system
For the last few years, Android is known to be the most widely used operating system and
this rapidly increasing popularity has attracted the malware developer's attention. Android …
this rapidly increasing popularity has attracted the malware developer's attention. Android …
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 …
DroidMalwareDetector: A novel Android malware detection framework based on convolutional neural network
AT Kabakus - Expert Systems with Applications, 2022 - Elsevier
Smartphones have become an integral part of our daily lives thanks to numerous reasons.
While benefitting from what they offer, it is critical to be aware of the existence of malware in …
While benefitting from what they offer, it is critical to be aware of the existence of malware in …
SEDMDroid: An enhanced stacking ensemble framework for Android malware detection
The popularity of the Android platform in smartphones and other Internet-of-Things devices
has resulted in the explosive of malware attacks against it. Malware presents a serious …
has resulted in the explosive of malware attacks against it. Malware presents a serious …
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 …