Feature importance in android malware detection

V Kouliaridis, G Kambourakis… - 2020 IEEE 19th …, 2020 - ieeexplore.ieee.org
The topic of mobile malware detection on the Android platform has attracted significant
attention over the last several years. However, while much research has been conducted …

A modified resnext for android malware identification and classification

MA Albahar, MS ElSayed… - Computational Intelligence …, 2022 - Wiley Online Library
It is critical to successfully identify, mitigate, and fight against Android malware assaults,
since Android malware has long been a significant threat to the security of Android …

Famd: A fast multifeature android malware detection framework, design, and implementation

H Bai, N Xie, X Di, Q Ye - IEEE Access, 2020 - ieeexplore.ieee.org
With Android's dominant position within the current smartphone OS, increasing number of
malware applications pose a great threat to user privacy and security. Classification …

Mlifdect: android malware detection based on parallel machine learning and information fusion

X Wang, D Zhang, X Su, W Li - Security and Communication …, 2017 - Wiley Online Library
In recent years, Android malware has continued to grow at an alarming rate. More recent
malicious apps' employing highly sophisticated detection avoidance techniques makes the …

A closer look at machine learning effectiveness in Android malware detection

F Giannakas, V Kouliaridis, G Kambourakis - Information, 2022 - mdpi.com
Nowadays, with the increasing usage of Android devices in daily life activities, malware has
been increasing rapidly, putting peoples' security and privacy at risk. To mitigate this threat …

Unraveling the Key of Machine Learning Solutions for Android Malware Detection

J Liu, J Zeng, F Pierazzi, L Cavallaro… - arXiv preprint arXiv …, 2024 - arxiv.org
Android malware detection serves as the front line against malicious apps. With the rapid
advancement of machine learning (ML), ML-based Android malware detection has attracted …

On building machine learning pipelines for Android malware detection: a procedural survey of practices, challenges and opportunities

M Mehrabi Koushki, I AbuAlhaol, AD Raju, Y Zhou… - Cybersecurity, 2022 - Springer
As the smartphone market leader, Android has been a prominent target for malware attacks.
The number of malicious applications (apps) identified for it has increased continually over …

Efficient and effective static android malware detection using machine learning

V Bansal, M Ghosh, N Baliyan - International conference on information …, 2022 - Springer
The increasing use of android, its openness and lack of security checks have led to an
alarming increase in malware applications. The traditional signature-based detection …

PACE: platform for android malware classification and performance evaluation

A Kumar, V Agarwal, SK Shandilya… - … Conference on Big …, 2019 - ieeexplore.ieee.org
Android malware has become the topmost threat for ubiquitous and useful Android eco-
system. Multiple solutions leveraging big data and machine learning capabilities to detect …

A pragmatic android malware detection procedure

P Palumbo, L Sayfullina, D Komashinskiy, E Eirola… - Computers & …, 2017 - Elsevier
The academic security research community has studied the Android malware detection
problem extensively. Machine learning methods proposed in previous work typically achieve …