A Comprehensive Analysis on Various Deep Learning Techniques for Malware Detection in Android Mobile Devices
M Anusha, M Karthika - SN Computer Science, 2023 - Springer
Due to the recent advancement in cellular communication and android operating system,
most of the people prefer android mobile phones for their day-to-day activities. The main …
most of the people prefer android mobile phones for their day-to-day activities. The main …
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 …
Malware detection in Android IoT systems using deep learning
M Waqar, S Fareed, A Kim… - … , Materials & Continua, 2022 - oars.uos.ac.uk
The Android Operating System (AOS) has been evolving since its inception and it has
become one of the most widely used operating system for the Internet of Things (IoT). Due to …
become one of the most widely used operating system for the Internet of Things (IoT). Due to …
[PDF][PDF] An efficient approach of deep learning for android malware detection
Android plays a very important role in the development of mobile technology as it is one of
the famous operating system in smartphones. Its popularity makes it a target of different …
the famous operating system in smartphones. Its popularity makes it a target of different …
[HTML][HTML] MADRAS-NET: A deep learning approach for detecting and classifying android malware using Linknet
Y Wang, S Jia - Measurement: Sensors, 2024 - Elsevier
Malware is an intentionally created malicious software that still poses a serious threat in
cyberspace. Android malware has become one of the most significant online threats in …
cyberspace. Android malware has become one of the most significant online threats in …
A deep learning based android malware detection system with static analysis
E Çalık Bayazıt, ÖK Şahingöz, B Doğan - 2022 - openaccess.biruni.edu.tr
In recent years, smart mobile devices have become indispensable due to the availability of
office applications, the Internet, game applications, vehicle guidance or similar most of our …
office applications, the Internet, game applications, vehicle guidance or similar most of our …
[HTML][HTML] Android Malware Detection and Identification Frameworks by Leveraging the Machine and Deep Learning Techniques: A Comprehensive Review
The ever-increasing growth of online services and smart connectivity of devices have posed
the threat of malware to computer system, android-based smart phones, Internet of Things …
the threat of malware to computer system, android-based smart phones, Internet of Things …
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 …
acceptance of android has resulted in significant increase in the number of malwares when …
DeepAMD: Detection and identification of Android malware using high-efficient Deep Artificial Neural Network
Android smartphones are being utilized by a vast majority of users for everyday planning,
data exchanges, correspondences, social interaction, business execution, bank …
data exchanges, correspondences, social interaction, business execution, bank …
[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 …
monitoring, planning, data sharing and synchronization, social interaction, business and …