A review on feature selection in mobile malware detection

A Feizollah, NB Anuar, R Salleh, AWA Wahab - Digital investigation, 2015 - Elsevier
The widespread use of mobile devices in comparison to personal computers has led to a
new era of information exchange. The purchase trends of personal computers have started …

Identifying Android malware using dynamically obtained features

VM Afonso, MF de Amorim, ARA Grégio… - Journal of Computer …, 2015 - Springer
The constant evolution of mobile devices' resources and features turned ordinary phones
into powerful and portable computers, leading their users to perform payments, store …

Are your training datasets yet relevant? an investigation into the importance of timeline in machine learning-based malware detection

K Allix, TF Bissyandé, J Klein, Y Le Traon - International Symposium on …, 2015 - Springer
In this paper, we consider the relevance of timeline in the construction of datasets, to
highlight its impact on the performance of a machine learning-based malware detection …

A machine learning approach to anomaly-based detection on Android platforms

J Abah, WOV - arXiv preprint arXiv:1512.04122, 2015 - arxiv.org
The emergence of mobile platforms with increased storage and computing capabilities and
the pervasive use of these platforms for sensitive applications such as online banking, e …

[PDF][PDF] Malware detection techniques in android

P Kaushik, A Jain - International Journal of Computer Applications, 2015 - Citeseer
Mobile Phones have become an important need of today. The term mobile phone and smart
phone are almost identical nowa-days. Smartphone market is booming with very high …

Comparative evaluation of ensemble learning and supervised learning in android malwares using network-based analysis

A Feizollah, NB Anuar, R Salleh, F Amalina - Advanced Computer and …, 2015 - Springer
With the prevalence of mobile devices, the security threats are growing in number and
seriousness. Among the mobile operating systems, Google's Android has been attacked …

[PDF][PDF] Challenges and Outlook in Machine Learning-based Malware Detection for Android

K Allix - 2015 - orbilu.uni.lu
Dissertation Challenges and Outlook in Machine Learning-based Malware Detection for
Android Page 1 PhD-FSTC-2015-48 The Faculty of Science, Technology and …