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 …
A system call-based android malware detection approach with homogeneous & heterogeneous ensemble machine learning
The enormous popularity of Android in the smartphone market has gained the attention of
malicious actors as well. Also, considering its open system architecture, malicious attacks …
malicious actors as well. Also, considering its open system architecture, malicious attacks …
A hybrid deep network framework for android malware detection
HJ Zhu, LM Wang, S Zhong, Y Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Android is a growing target for malicious software (malware) because of its popularity and
functionality. Malware poses a serious threat to users' privacy, money, equipment and file …
functionality. Malware poses a serious threat to users' privacy, money, equipment and file …
[HTML][HTML] A comprehensive survey on machine learning techniques for android malware detection
V Kouliaridis, G Kambourakis - Information, 2021 - mdpi.com
Year after year, mobile malware attacks grow in both sophistication and diffusion. As the
open source Android platform continues to dominate the market, malware writers consider it …
open source Android platform continues to dominate the market, malware writers consider it …
Droiddetector: android malware characterization and detection using deep learning
Smartphones and mobile tablets are rapidly becoming indispensable in daily life. Android
has been the most popular mobile operating system since 2012. However, owing to the …
has been the most popular mobile operating system since 2012. However, owing to the …
A two-layer deep learning method for android malware detection using network traffic
J Feng, L Shen, Z Chen, Y Wang, H Li - Ieee Access, 2020 - ieeexplore.ieee.org
Because of the characteristic of openness and flexibility, Android has become the most
popular mobile platform. However, it has also become the most targeted system by mobile …
popular mobile platform. However, it has also become the most targeted system by mobile …
A performance-sensitive malware detection system using deep learning on mobile devices
Currently, Android malware detection is mostly performed on server side against the
increasing number of malware. Powerful computing resource provides more exhaustive …
increasing number of malware. Powerful computing resource provides more exhaustive …
Context-aware, adaptive, and scalable android malware detection through online learning
A Narayanan, M Chandramohan… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
It is well known that Android malware constantly evolves so as to evade detection. This
causes the entire malware population to be nonstationary. Contrary to this fact, most of the …
causes the entire malware population to be nonstationary. Contrary to this fact, most of the …
Deep learning feature exploration for android malware detection
Android mobile devices and applications are widely deployed and used in industry and
smart city. Malware detection is one of the most powerful and effective approaches to …
smart city. Malware detection is one of the most powerful and effective approaches to …
A lightweight on-device detection method for android malware
Android malware poses severe threats to users, hence raising an urgent demand for
malware detection. In-cloud Android malware detection often suffers privacy leakage and …
malware detection. In-cloud Android malware detection often suffers privacy leakage and …