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 …

Less is More: A privacy-respecting Android malware classifier using federated learning

R Gálvez, V Moonsamy, C Diaz - arXiv preprint arXiv:2007.08319, 2020 - arxiv.org
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 …

Circumventing Google Play vetting policies: A stealthy cyberattack that uses incremental updates to breach privacy

Z Muhammad, F Amjad, Z Iqbal, AR Javed… - Journal of Ambient …, 2023 - Springer
Today digital technologies are evolving to accommodate small businesses and young
entrepreneurs by reducing their time-to-market while encouraging rapid innovation in …

Perbandingan Kinerja Akurasi Klasifikasi K-NN, NB Dan DT Pada APK Android

D Hindarto - JATISI (Jurnal Teknik Informatika Dan Sistem …, 2022 - jurnal.mdp.ac.id
Today many people use Internet technology, for various needs. Starting from shopping,
transportation and education, using the Internet as a digital service. Equipment in accessing …

[HTML][HTML] Reducing the forensic footprint with Android accessibility attacks

Y Leguesse, M Vella, C Colombo… - … Workshop on Security …, 2020 - Springer
Android accessibility features include a robust set of tools allowing developers to create
apps for assisting people with disabilities. Unfortunately, this useful set of tools can also be …

[PDF][PDF] 一种基于诱导机制的间谍软件检测方法

郭春, 罗迪, 申国伟, 崔允贺, 平源 - 电子学报, 2022 - ejournal.org.cn
间谍软件是攻击者广泛采用的一类信息窃取类恶意软件, 具有高威胁性, 高隐蔽性等特点.
间谍软件在实施窃密行为时通常采用触发执行策略, 使得基于软件行为的动态检测方法难以在短 …

Security code smells in apps: are we getting better?

S Arzt - Proceedings of the 30th ACM Joint European Software …, 2022 - dl.acm.org
Users increasingly rely on mobile apps for everyday tasks, including security-and privacy-
sensitive tasks such as online banking, e-health, and e-government. Additionally, a wealth of …

An evolutionary perspective: a study of Anubis Android banking trojan

B Ning, G Zhang, Z Zhong - 2020 7th International Conference …, 2020 - ieeexplore.ieee.org
Anubis Android banking trojan has been widespread worldwide which caused millions of
economy loss while it has been evolving both numerically and swiftly. To chase with the …

Malware detection inside app stores based on lifespan measurements

C Cilleruelo, L De-Marcos, JJ Martinez-Herráiz - IEEE Access, 2021 - ieeexplore.ieee.org
Potentially Harmful Apps (PHAs), like any other type of malware, are a problem. Even
though Google tries to maintain a clean app ecosystem, Google Play Store is still one of the …

[PDF][PDF] Permission-based android malware detection using machine learning

S Seraj - 2023 - research.brighton.ac.uk
Mobile devices, particularly Android-based devices, have become essential to our daily
lives. However, this trend has also increased the number and sophistication of mobile …