Debiasing android malware datasets: How can i trust your results if your dataset is biased?

TC Miranda, PF Gimenez, JF Lalande… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Android security has received a lot of attention over the last decade, especially malware
investigation. Researchers attempt to highlight applications' security-relevant characteristics …

Evaluating machine learning models for Android malware detection: A comparison study

MS Rana, C Gudla, AH Sung - Proceedings of the 2018 VII International …, 2018 - dl.acm.org
Android is the most popular mobile operating system having billions of active users
worldwide that attracted advertisers, hackers, and cybercriminals to develop malware for …

Evaluation of advanced ensemble learning techniques for Android malware detection

MS Rana, AH Sung - Vietnam Journal of Computer Science, 2020 - World Scientific
Android is the most well-known portable working framework having billions of dynamic
clients worldwide that pulled in promoters, programmers, and cybercriminals to create …

Evaluating machine learning models on the ethereum blockchain for android malware detection

MS Rana, C Gudla, AH Sung - Intelligent Computing: Proceedings of the …, 2019 - Springer
Android, the most popular mobile operating system, with billions of active users and more
than 2 million apps, has motivated advertisers, hackers, fraudsters and cyber-criminals to …

Profiling and Visualizing Android Malware Datasets

TJC Miranda - 2022 - theses.hal.science
Mobile devices are ubiquitous: nowadays most people own a mobile telephone. Because of
this, it is a target of interest for attackers. Researchers in malware analysis put their effort to …

Android Mobile Malware Detection System Using Ensemble Learning

J Ottakanchirathingal - 2020 - norma.ncirl.ie
Android is the most popular and dominant smartphone operating system in the market. The
Google Play store in the Android platform contains more than one million android mobile …

[NAVOD][C] Evaluation of Advanced Ensemble Learning Techniques for Android Mal