[HTML][HTML] Malware detection for mobile computing using secure and privacy-preserving machine learning approaches: A comprehensive survey

F Nawshin, R Gad, D Unal, AK Al-Ali… - Computers and Electrical …, 2024 - Elsevier
Mobile devices have become an essential element in our day-to-day lives. The chances of
mobile attacks are rapidly increasing with the growing use of mobile devices. Exploiting …

[HTML][HTML] Android spyware detection using machine learning: a novel dataset

MK Qabalin, M Naser, M Alkasassbeh - sensors, 2022 - mdpi.com
Smartphones are an essential part of all aspects of our lives. Socially, politically, and
commercially, there is almost complete reliance on smartphones as a communication tool, a …

Mobile spyware identification and categorization: A systematic review

M Naser, H Albazar, H Abdel-Jaber - Informatica, 2023 - informatica.si
Smartphones have revolutionized the way we live, work, and interact with the world. They
have become indispensable companions, seamlessly integrating into our daily routines …

Protecting Android Devices from Malware Attacks: A State-of-the-Art Report of Concepts, Modern Learning Models and Challenges

EC Bayazit, OK Sahingoz, B Dogan - IEEE Access, 2023 - ieeexplore.ieee.org
Advancements in microelectronics have increased the popularity of mobile devices like
cellphones, tablets, e-readers, and PDAs. Android, with its open-source platform, broad …

A dynamic weighted federated learning for android malware classification

A Chaudhuri, A Nandi, B Pradhan - Soft computing: Theories and …, 2023 - Springer
Android malware attacks are increasing daily at a tremendous volume, making android
users more vulnerable to cyber-attacks. Researchers have developed many machine …

Are we really protected? An investigation into the play protect service

S Hutchinson, B Zhou… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Android smartphones are becoming more and more popular each year. With this increased
user base, comes an increased need for Android OS to protect its users from malicious …

Android trojan horse spyware attack: a practical implementation

CM Mwange, EC Cankaya - 2024 12th International …, 2024 - ieeexplore.ieee.org
Considering the popularity of rapidly growing mobile device use, this study delves into the
persistent threat of Trojan horses, focusing on one select mobile OS platform, Android. To …

Servdroid: detecting service usage inefficiencies in android applications

W Song, J Zhang, J Huang - Proceedings of the 2019 27th ACM Joint …, 2019 - dl.acm.org
Services in Android applications are frequently-used components for performing time-
consuming operations in the background. While services play a crucial role in the app …

A Survey of Trojan Attacks and Defenses to Deep Neural Networks

L **, X Wen, W Jiang, J Zhan - arxiv preprint arxiv:2408.08920, 2024 - arxiv.org
Deep Neural Networks (DNNs) have found extensive applications in safety-critical artificial
intelligence systems, such as autonomous driving and facial recognition systems. However …

Cscdroid: Accurately detect android malware via contribution-level-based system call categorization

S Zhang, X **ao - 2017 IEEE Trustcom/BigDataSE/ICESS, 2017 - ieeexplore.ieee.org
The detection of the malicious application or malware on Android platform is a very
concerned issue. Many studies have demonstrated their effect from static property analysis …