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 …
Review of android malware detection based on deep learning
Z Wang, Q Liu, Y Chi - IEEE Access, 2020 - ieeexplore.ieee.org
At present, smartphones running the Android operating system have occupied the leading
market share. However, due to the Android operating system's open-source nature, Android …
market share. However, due to the Android operating system's open-source nature, Android …
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 …
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 …
Android malware detection based on multi-head squeeze-and-excitation residual network
H Zhu, W Gu, L Wang, Z Xu, VS Sheng - Expert Systems with Applications, 2023 - Elsevier
The popularity and flexibility of the Android platform makes it the primary target of malicious
attackers. The behaviors of malware, such as malicious charges and privacy theft, pose …
attackers. The behaviors of malware, such as malicious charges and privacy theft, pose …
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 …
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 …
Classification and analysis of android malware images using feature fusion technique
The super packed functionalities and artificial intelligence (AI)-powered applications have
made the Android operating system a big player in the market. Android smartphones have …
made the Android operating system a big player in the market. Android smartphones have …
Automated machine learning for deep learning based malware detection
A Brown, M Gupta, M Abdelsalam - Computers & Security, 2024 - Elsevier
Deep learning (DL) has proven to be effective in detecting sophisticated malware that is
constantly evolving. Even though deep learning has alleviated the feature engineering …
constantly evolving. Even though deep learning has alleviated the feature engineering …
A survey of android malware static detection technology based on machine learning
Q Wu, X Zhu, B Liu - Mobile Information Systems, 2021 - Wiley Online Library
With the rapid growth of Android devices and applications, the Android environment faces
more security threats. Malicious applications stealing usersʼ privacy information, sending …
more security threats. Malicious applications stealing usersʼ privacy information, sending …