Automated testing of android apps: A systematic literature review

P Kong, L Li, J Gao, K Liu… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Automated testing of Android apps is essential for app users, app developers, and market
maintainer communities alike. Given the widespread adoption of Android and the …

Deep learning for android malware defenses: a systematic literature review

Y Liu, C Tantithamthavorn, L Li, Y Liu - ACM Computing Surveys, 2022 - dl.acm.org
Malicious applications (particularly those targeting the Android platform) pose a serious
threat to developers and end-users. Numerous research efforts have been devoted to …

Humanoid: A deep learning-based approach to automated black-box android app testing

Y Li, Z Yang, Y Guo, X Chen - 2019 34th IEEE/ACM …, 2019 - ieeexplore.ieee.org
Automated input generators must constantly choose which UI element to interact with and
how to interact with it, in order to achieve high coverage with a limited time budget …

Beyond google play: A large-scale comparative study of chinese android app markets

H Wang, Z Liu, J Liang, N Vallina-Rodriguez… - Proceedings of the …, 2018 - dl.acm.org
China is one of the largest Android markets in the world. As Chinese users cannot access
Google Play to buy and install Android apps, a number of independent app stores have …

On the impact of sample duplication in machine-learning-based android malware detection

Y Zhao, L Li, H Wang, H Cai, TF Bissyandé… - ACM Transactions on …, 2021 - dl.acm.org
Malware detection at scale in the Android realm is often carried out using machine learning
techniques. State-of-the-art approaches such as DREBIN and MaMaDroid are reported to …

[PDF][PDF] Gptvoicetasker: Llm-powered virtual assistant for smartphone

MD Vu, H Wang, Z Li, J Chen, S Zhao… - arXiv preprint arXiv …, 2024 - shengdongzhao.com
Developing efficient and reliable voice-controlled systems involves addressing various
challenges that significantly impact the accuracy and usability of these systems [47]. One …

Research on third-party libraries in android apps: A taxonomy and systematic literature review

X Zhan, T Liu, L Fan, L Li, S Chen… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Third-party libraries (TPLs) have been widely used in mobile apps, which play an essential
part in the entire Android ecosystem. However, TPL is a double-edged sword. On the one …

How did that get in my phone? unwanted app distribution on android devices

P Kotzias, J Caballero, L Bilge - 2021 IEEE Symposium on …, 2021 - ieeexplore.ieee.org
Android is the most popular operating system with billions of active devices. Unfortunately,
its popularity and openness makes it attractive for unwanted apps, ie, malware and …

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 …

Understanding the evolution of mobile app ecosystems: A longitudinal measurement study of google play

H Wang, H Li, Y Guo - The World Wide Web Conference, 2019 - dl.acm.org
The continuing expansion of mobile app ecosystems has attracted lots of efforts from the
research community. However, although a large number of research studies have focused …