Towards {Large-Scale} Hunting for Android {Negative-Day} Malware

LP Yuan, W Hu, T Yu, P Liu, S Zhu - 22nd International Symposium on …, 2019 - usenix.org
Android malware writers often utilize online malware scanners to check how well their
malware can evade detection, and indeed we can find malware scan reports that were …

Unmasking the Veiled: A Comprehensive Analysis of Android Evasive Malware

A Ruggia, D Nisi, S Dambra, A Merlo… - Proceedings of the 19th …, 2024 - dl.acm.org
Since Android is the most widespread operating system, malware targeting it poses a severe
threat to the security and privacy of millions of users and is increasing from year to year. The …

MalRadar: Demystifying android malware in the new era

L Wang, H Wang, R He, R Tao, G Meng… - Proceedings of the ACM …, 2022 - dl.acm.org
Mobile malware detection has attracted massive research effort in our community. A reliable
and up-to-date malware dataset is critical to evaluate the effectiveness of malware detection …

A large-scale study of android malware development phenomenon on public malware submission and scanning platform

H Huang, C Zheng, J Zeng, W Zhou… - … Transactions on Big …, 2018 - ieeexplore.ieee.org
With the steady growth of Android malware, we suspect that, during the malware
development phase, some Android malware writers use the popular public scanning …

Deep ground truth analysis of current android malware

F Wei, Y Li, S Roy, X Ou, W Zhou - … , DIMVA 2017, Bonn, Germany, July 6-7 …, 2017 - Springer
To build effective malware analysis techniques and to evaluate new detection tools, up-to-
date datasets reflecting the current Android malware landscape are essential. For such …

Rmvdroid: towards a reliable android malware dataset with app metadata

H Wang, J Si, H Li, Y Guo - 2019 IEEE/ACM 16th international …, 2019 - ieeexplore.ieee.org
A large number of research studies have been focused on detecting Android malware in
recent years. As a result, a reliable and large-scale malware dataset is essential to build …

A preliminary study on the sustainability of android malware detection

H Cai - arXiv preprint arXiv:1807.08221, 2018 - arxiv.org
Machine learning-based malware detection dominates current security defense approaches
for Android apps. However, due to the evolution of Android platforms and malware, existing …

Understanding the characteristics of invasive malware from the Google Play Store

M Cao - 2022 - open.library.ubc.ca
This thesis provides a detailed in-depth analysis of Android malware samples that bypassed
detection by the Google Play app store and penetrated the official Android market between …

Mystique: Evolving android malware for auditing anti-malware tools

G Meng, Y Xue, C Mahinthan, A Narayanan… - Proceedings of the 11th …, 2016 - dl.acm.org
In the arms race of attackers and defenders, the defense is usually more challenging than
the attack due to the unpredicted vulnerabilities and newly emerging attacks every day …

A semantic-based analysis of android malware for detection, generation, and trend analysis

G Meng - 2017 - dr.ntu.edu.sg
Android has grown to be the most popular mobile operating system since its release in
2008. Due to its openness and ease of use, it attracts thousands of vendors and developers …