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 …

Malware detection using static analysis in Android: a review of FeCO (features, classification, and obfuscation)

R Jusoh, A Firdaus, S Anwar, MZ Osman… - PeerJ Computer …, 2021 - peerj.com
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 …

[HTML][HTML] DL-AMDet: Deep learning-based malware detector for android

AR Nasser, AM Hasan, AJ Humaidi - Intelligent Systems with Applications, 2024 - Elsevier
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 …

Andmfc: Android malware family classification framework

S Türker, AB Can - 2019 IEEE 30th International Symposium on …, 2019 - ieeexplore.ieee.org
As the popularity of Android mobile operating system grows, the number of malicious
software have increased extensively. Therefore, many research efforts have been done on …

Debiasing android malware datasets: How can i trust your results if your dataset is biased?

TC Miranda, PF Gimenez, JF Lalande… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Android security has received a lot of attention over the last decade, especially malware
investigation. Researchers attempt to highlight applications' security-relevant characteristics …

Fam: Featuring android malware for deep learning-based familial analysis

Y Ban, S Lee, D Song, H Cho, JH Yi - IEEE Access, 2022 - ieeexplore.ieee.org
To handle relentlessly emerging Android malware, deep learning has been widely adopted
in the research community. Prior work proposed deep learning-based approaches that use …

Familial classification of android malware using hybrid analysis

OFT Cavli, S Sen - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
With the developments in mobile and wireless technology, mobile devices have become
important part of our lives. While Android is the leading operating system in the market …

TRConv: Multi-platform malware classification via target regulated convolutions

A Egitmen, AG Yavuz, S Yavuz - IEEE Access, 2024 - ieeexplore.ieee.org
Malware is an important threat to digital workflow. Traditional malware modeling approaches
focused on using hand-crafted features while recent approaches proved the necessity of …

Android security using nlp techniques: a review

S Sen, B Can - arXiv preprint arXiv:2107.03072, 2021 - arxiv.org
Android is among the most targeted platform by attackers. While attackers are improving
their techniques, traditional solutions based on static and dynamic analysis have been also …

Detecting colluding inter-app communication in mobile environment

R Casolare, F Martinelli, F Mercaldo, A Santone - Applied Sciences, 2020 - mdpi.com
The increase in computing capabilities of mobile devices has, in the last few years, made
possible a plethora of complex operations performed from smartphones and tablets end …