Android malware detection using deep learning

S Sabhadiya, J Barad… - 2019 3rd International …, 2019 - ieeexplore.ieee.org
Android has become the most standard smartphone operating system. The rapidly growing
acceptance of android has resulted in significant increase in the number of malwares when …

Using deep neural network for Android malware detection

A Naway, Y Li - arXiv preprint arXiv:1904.00736, 2019 - arxiv.org
The pervasiveness of the Android operating system, with the availability of applications
almost for everything, is readily accessible in the official Google play store or a dozen …

Static analysis of android malware detection using deep learning

HR Sandeep - … on Intelligent Computing and Control Systems …, 2019 - ieeexplore.ieee.org
Android Malware is very common these days as applications are not created by trusted
sources. People enter their personal data, save cards and much more, thinking these apps …

Droiddetector: android malware characterization and detection using deep learning

Z Yuan, Y Lu, Y Xue - Tsinghua Science and Technology, 2016 - ieeexplore.ieee.org
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 …

Android malware detection using autoencoder

A Naway, Y Li - arXiv preprint arXiv:1901.07315, 2019 - arxiv.org
Smartphones have become an intrinsic part of human's life. The smartphone unifies diverse
advanced characteristics. It enables users to store various data such as photos, health data …

A systematical study for deep learning based android malware detection

H Wu - Proceedings of the 2020 9th international conference …, 2020 - dl.acm.org
Nowadays with the development of smartphone and its operating system, such as Android,
the amount of mobile malware is correspondingly increasing. To protect the privacy security …

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 …

End-to-end malware detection for android IoT devices using deep learning

Z Ren, H Wu, Q Ning, I Hussain, B Chen - Ad Hoc Networks, 2020 - Elsevier
Abstract The Internet of Things (IoT) has grown rapidly in recent years and has become one
of the most active areas in the global market. As an open source platform with a large …

Deepdetect: A practical on-device android malware detector

S Kumar, D Mishra, B Panda… - 2021 IEEE 21st …, 2021 - ieeexplore.ieee.org
Over the past few years, Android has become one of the most popular operating systems for
smartphones as it is open-source and provides extensive support for wide variety of …

[HTML][HTML] A review of deep learning models to detect malware in Android applications

E Mbunge, B Muchemwa, J Batani… - Cyber Security and …, 2023 - Elsevier
Android applications are indispensable resources that facilitate communication, health
monitoring, planning, data sharing and synchronization, social interaction, business and …