[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 …

DeepAMD: Detection and identification of Android malware using high-efficient Deep Artificial Neural Network

SI Imtiaz, S ur Rehman, AR Javed, Z Jalil, X Liu… - Future Generation …, 2021 - Elsevier
Android smartphones are being utilized by a vast majority of users for everyday planning,
data exchanges, correspondences, social interaction, business execution, bank …

Didroid: Android malware classification and characterization using deep image learning

A Rahali, AH Lashkari, G Kaur, L Taheri… - Proceedings of the …, 2020 - dl.acm.org
The unrivaled threat of android malware is the root cause of various security problems on
the internet. Although there are remarkable efforts in detection and classification of android …

Android Security: Malware Detection with Convolutional Neural Network and Feature Analysis

RS Putra, MF Aulia, SA Maulana… - Media Journal of …, 2024 - mjgcs.mase.or.id
Android is a mobile operating system based on a modified version of the Linux kernel and
other open-source tools. Due to its system efficiency and the multitude of features it offers to …

[HTML][HTML] Automated malware detection using machine learning and deep learning approaches for android applications

S Poornima, R Mahalakshmi - Measurement: Sensors, 2024 - Elsevier
The popularity of mobile devices has aided in the development of the Android platform.
Malware is one of the most frequent cyberattacks with its prevalence growing daily across …

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 …

A DNN Approach to Design a Smart Security System for Android Platform

D Sahu, SN Tripathy, SK Kapat… - Sustainable Science and …, 2023 - igi-global.com
Malware is an extensive threat to all computing devices and involves a massive loss for end-
users and corporations. This chapter gives a fundamental idea about Android malware …

[PDF][PDF] An efficient approach of deep learning for android malware detection

MS Ahmad, D Javeed, M Shoaib… - … Journal for Research …, 2021 - researchgate.net
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 …

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 …

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 …