Detecting Android locker-ransomware on chinese social networks

D Su, J Liu, X Wang, W Wang - IEEE Access, 2018 - ieeexplore.ieee.org
In recent years, an increasing amount of locker-ransomware has been posing a great threat
to the Android platform as well as users' properties. Locker-ransomware blackmails victims …

Machine-Learning based analysis and classification of Android malware signatures

I Martín, JA Hernández, S de los Santos - Future Generation Computer …, 2019 - Elsevier
Multi-scanner Antivirus (AV) systems are often used for detecting Android malware since the
same piece of software can be checked against multiple different AV engines. However, in …

Securing android app markets via modeling and predicting malware spread between markets

G Meng, M Patrick, Y Xue, Y Liu… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The Android ecosystem has recently dominated mobile devices. Android app markets,
including official Google Play and other third party markets, are becoming hotbeds, where …

Lifting The Grey Curtain: Analyzing the Ecosystem of Android Scam Apps

Z Chen, L Wu, Y Hu, J Cheng, Y Hu… - … on Dependable and …, 2023 - ieeexplore.ieee.org
Mobile applications (apps) are extensively involved in online scams. Previous studies
mainly target malicious apps that either compromise victims' devices (eg, malware and …

Detection, traceability, and propagation of mobile malware threats

L Chen, C Xia, S Lei, T Wang - IEEE Access, 2021 - ieeexplore.ieee.org
In recent years, the application of smartphones, Android operating systems and mobile
applications have become more prevalent worldwide. To study the traceability, propagation …

Massivizing computer systems: a vision to understand, design, and engineer computer ecosystems through and beyond modern distributed systems

A Iosup, A Uta, L Versluis, G Andreadis… - 2018 IEEE 38th …, 2018 - ieeexplore.ieee.org
Our society is digital: industry, science, governance, and individuals depend, often
transparently, on the inter-operation of large numbers of distributed computer systems …

Discovering communities of malapps on Android-based mobile cyber-physical systems

D Su, J Liu, W Wang, X Wang, X Du, M Guizani - Ad Hoc Networks, 2018 - Elsevier
Android-based devices like smartphones have become ideal mobile cyber-physical systems
(MCPS) due to their powerful processors and variety of sensors. In recent years, an …

Towards deep learning-based approach for detecting Android malware

J Booz, J McGiff, WG Hatcher, W Yu… - International Journal of …, 2019 - igi-global.com
In this article, the authors implement a deep learning environment and fine-tune parameters
to determine the optimal settings for the classification of Android malware from extracted …

Mobile malware detection-an analysis of the impact of feature categories

ME Khoda, J Kamruzzaman, I Gondal… - … Conference, ICONIP 2018 …, 2018 - Springer
The use of smartphones and hand-held devices continues to increase with rapid
development in underlying technology and widespread deployment of numerous …

[PDF][PDF] Machine-Learning based analysis and classification of Android malware signatures. Future Generation Computer Systems, 97, 295–305.

I Martín, JA Hernández, S de Los Santos - e-archivo.uc3m.es
Multi-scanner Antivirus (AV) systems are often used for detecting Android malware since the
same piece of software can be checked against multiple different AV engines. However, in …