GDroid: Android malware detection and classification with graph convolutional network
The dramatic increase in the number of malware poses a serious challenge to the Android
platform and makes it difficult for malware analysis. In this paper, we propose a novel …
platform and makes it difficult for malware analysis. In this paper, we propose a novel …
Android malware family classification and analysis: Current status and future directions
F Alswaina, K Elleithy - Electronics, 2020 - mdpi.com
Android receives major attention from security practitioners and researchers due to the influx
number of malicious applications. For the past twelve years, Android malicious applications …
number of malicious applications. For the past twelve years, Android malicious applications …
Malware detection using static analysis in Android: a review of FeCO (features, classification, and obfuscation)
Android is a free open-source operating system (OS), which allows an in-depth
understanding of its architecture. Therefore, many manufacturers are utilizing this OS to …
understanding of its architecture. Therefore, many manufacturers are utilizing this OS to …
Didroid: Android malware classification and characterization using deep image learning
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 …
the internet. Although there are remarkable efforts in detection and classification of android …
Less is More: A privacy-respecting Android malware classifier using federated learning
In this paper we present LiM (" Less is More"), a malware classification framework that
leverages Federated Learning to detect and classify malicious apps in a privacy-respecting …
leverages Federated Learning to detect and classify malicious apps in a privacy-respecting …
GCDroid: android malware detection based on graph compression with reachability relationship extraction for IoT devices
W Niu, Y Wang, X Liu, R Yan, X Li… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
With the widespread popularity of Internet of Things (IoT) devices based on the Android
system, the amount of Android malware targeting IoT devices continues to increase, causing …
system, the amount of Android malware targeting IoT devices continues to increase, causing …
WHGDroid: Effective android malware detection based on weighted heterogeneous graph
L Huang, J Xue, Y Wang, Z Liu, J Chen… - Journal of Information …, 2023 - Elsevier
The growing Android malware is seriously threatening the privacy and property security of
Android users. However, the existing detection methods are often unable to maintain …
Android users. However, the existing detection methods are often unable to maintain …
Eight years of rider measurement in the android malware ecosystem: evolution and lessons learned
G Suarez-Tangil, G Stringhini - arXiv preprint arXiv:1801.08115, 2018 - arxiv.org
Despite the growing threat posed by Android malware, the research community is still
lacking a comprehensive view of common behaviors and trends exposed by malware …
lacking a comprehensive view of common behaviors and trends exposed by malware …
Malware-on-the-brain: Illuminating malware byte codes with images for malware classification
Malware is a piece of software that was written with the intent of doing harm to data, devices,
or people. Since a number of new malware variants can be generated by reusing codes …
or people. Since a number of new malware variants can be generated by reusing codes …
Eight years of rider measurement in the android malware ecosystem
G Suarez-Tangil, G Stringhini - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Despite the growing threat posed by the Android malware, the research community is still
lacking a comprehensive view of common behaviors and emerging trends in malware …
lacking a comprehensive view of common behaviors and emerging trends in malware …