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 …
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 …
Deep neural networks for automatic android malware detection
Because of the explosive growth of Android malware and due to the severity of its damages,
the detection of Android malware has become an increasing important topic in cybersecurity …
the detection of Android malware has become an increasing important topic in cybersecurity …
A novel android malware detection approach based on convolutional neural network
Y Zhang, Y Yang, X Wang - … of the 2nd international conference on …, 2018 - dl.acm.org
With the explosive growth of Android malware, there is a pressure for us to improve the
performance of existing malware detection approaches. In this paper, we proposed …
performance of existing malware detection approaches. In this paper, we proposed …
Famd: A fast multifeature android malware detection framework, design, and implementation
H Bai, N Xie, X Di, Q Ye - IEEE Access, 2020 - ieeexplore.ieee.org
With Android's dominant position within the current smartphone OS, increasing number of
malware applications pose a great threat to user privacy and security. Classification …
malware applications pose a great threat to user privacy and security. Classification …
Mobidroid: A performance-sensitive malware detection system on mobile platform
Currently, Android malware detection is mostly performed on the server side against the
increasing number of Android malware. Powerful computing resource gives more …
increasing number of Android malware. Powerful computing resource gives more …
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 …
Droiddelver: An android malware detection system using deep belief network based on api call blocks
Because of the explosive growth of Android malware and due to the severity of its damages,
the detection of Android malware has become an increasing important topic in cyber …
the detection of Android malware has become an increasing important topic in cyber …
[HTML][HTML] DL-AMDet: Deep learning-based malware detector for android
The Android operating system, with its market share leadership and open-source nature in
smartphones, has become the primary target of malware. However, detecting malicious …
smartphones, has become the primary target of malware. However, detecting malicious …
[HTML][HTML] MalDozer: Automatic framework for android malware detection using deep learning
Android OS experiences a blazing popularity since the last few years. This predominant
platform has established itself not only in the mobile world but also in the Internet of Things …
platform has established itself not only in the mobile world but also in the Internet of Things …