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 …
Intelligent mobile malware detection using permission requests and API calls
Malware is a serious threat that has been used to target mobile devices since its inception.
Two types of mobile malware attacks are standalone: fraudulent mobile apps and injected …
Two types of mobile malware attacks are standalone: fraudulent mobile apps and injected …
[Retracted] A Comprehensive Review of Android Security: Threats, Vulnerabilities, Malware Detection, and Analysis
S Acharya, U Rawat… - Security and …, 2022 - Wiley Online Library
The popularity and open‐source nature of Android devices have resulted in a dramatic
growth of Android malware. Malware developers are also able to evade the detection …
growth of Android malware. Malware developers are also able to evade the detection …
Hindroid: An intelligent android malware detection system based on structured heterogeneous information network
With explosive growth of Android malware and due to the severity of its damages to smart
phone users, the detection of Android malware has become increasingly important in …
phone users, the detection of Android malware has become increasingly important in …
Android malware detection based on system call sequences and LSTM
X Xiao, S Zhang, F Mercaldo, G Hu… - Multimedia Tools and …, 2019 - Springer
As Android-based mobile devices become increasingly popular, malware detection on
Android is very crucial nowadays. In this paper, a novel detection method based on deep …
Android is very crucial nowadays. In this paper, a novel detection method based on deep …
A novel dynamic android malware detection system with ensemble learning
With the popularity of Android smartphones, malicious applications targeted Android
platform have explosively increased. Proposing effective Android malware detection method …
platform have explosively increased. Proposing effective Android malware detection method …
Deep4maldroid: A deep learning framework for android malware detection based on linux kernel system call graphs
With explosive growth of Android malware and due to its damage to smart phone users (eg,
stealing user credentials, resource abuse), Android malware detection is one of the cyber …
stealing user credentials, resource abuse), Android malware detection is one of the cyber …
Deep learning for effective Android malware detection using API call graph embeddings
A Pektaş, T Acarman - Soft Computing, 2020 - Springer
High penetration of Android applications along with their malicious variants requires efficient
and effective malware detection methods to build mobile platform security. API call …
and effective malware detection methods to build mobile platform security. API call …
Robust deep learning early alarm prediction model based on the behavioural smell for android malware
E Amer, S El-Sappagh - Computers & Security, 2022 - Elsevier
Due to the widespread expansion of the Android malware industry, malicious Android
processes mining became a necessity to understand their behavior. Nevertheless, due to …
processes mining became a necessity to understand their behavior. Nevertheless, due to …
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 …