The rise of obfuscated Android malware and impacts on detection methods

WF Elsersy, A Feizollah, NB Anuar - PeerJ Computer Science, 2022 - peerj.com
The various application markets are facing an exponential growth of Android malware. Every
day, thousands of new Android malware applications emerge. Android malware hackers …

[Retracted] A Comprehensive Review of Android Security: Threats, Vulnerabilities, Malware Detection, and Analysis

S Acharya, U Rawat… - Security and …, 2022 - Wiley Online Library
The popularity and open‐source nature of Android devices have resulted in a dramatic
growth of Android malware. Malware developers are also able to evade the detection …

MAPAS: a practical deep learning-based android malware detection system

J Kim, Y Ban, E Ko, H Cho, JH Yi - International Journal of Information …, 2022 - Springer
A lot of malicious applications appears every day, threatening numerous users. Therefore, a
surge of studies have been conducted to protect users from newly emerging malware by …

Mab-malware: A reinforcement learning framework for blackbox generation of adversarial malware

W Song, X Li, S Afroz, D Garg, D Kuznetsov… - … of the 2022 ACM on Asia …, 2022 - dl.acm.org
Modern commercial antivirus systems increasingly rely on machine learning (ML) to keep up
with the rampant inflation of new malware. However, it is well-known that machine learning …

An android malware detection and classification approach based on contrastive lerning

S Yang, Y Wang, H Xu, F Xu, M Chen - Computers & Security, 2022 - Elsevier
Android malware detection is a serious issue for mobile security. Recent machine learning-
based research could achieve high accuracy. However, there are far more unlabeled …

A modified resnext for android malware identification and classification

MA Albahar, MS ElSayed… - Computational Intelligence …, 2022 - Wiley Online Library
It is critical to successfully identify, mitigate, and fight against Android malware assaults,
since Android malware has long been a significant threat to the security of Android …

On building machine learning pipelines for Android malware detection: a procedural survey of practices, challenges and opportunities

M Mehrabi Koushki, I AbuAlhaol, AD Raju, Y Zhou… - Cybersecurity, 2022 - Springer
As the smartphone market leader, Android has been a prominent target for malware attacks.
The number of malicious applications (apps) identified for it has increased continually over …

Obfuscation detection in android applications using deep learning

M Conti, P Vinod, A Vitella - Journal of Information Security and …, 2022 - Elsevier
Malware is often hidden in illegitimately cloned software. Android, with over two billions
active devices, is one of the most affected platforms because code cloning is quite simple …

Edge-based IIoT malware detection for mobile devices with offloading

X Deng, X Pei, S Tian, L Zhang - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The advent of 5G brought new opportunities to leapfrog beyond current Industrial Internet of
Things (IoT). However, the ever-growing IoT has also attracted adversaries to develop new …

Multimodal information fusion for android malware detection using lazy learning

ZH Qaisar, R Li - Multimedia Tools and Applications, 2022 - Springer
Android has a large number of users that are accumulating with each passing day. Security
of the Android ecosystem is a major concern for these users with the provision of quality …