N-opcode analysis for android malware classification and categorization

BJ Kang, SY Yerima, K McLaughlin… - … conference on cyber …, 2016 - ieeexplore.ieee.org
Malware detection is a growing problem particularly on the Android mobile platform due to
its increasing popularity and accessibility to numerous third party app markets. This has also …

Effectiveness of opcode ngrams for detection of multi family android malware

G Canfora, A De Lorenzo, E Medvet… - 2015 10th …, 2015 - ieeexplore.ieee.org
With the wide diffusion of smartphones and their usage in a plethora of processes and
activities, these devices have been handling an increasing variety of sensitive resources …

N-gram opcode analysis for android malware detection

BJ Kang, SY Yerima, S Sezer, K McLaughlin - arXiv preprint arXiv …, 2016 - arxiv.org
Android malware has been on the rise in recent years due to the increasing popularity of
Android and the proliferation of third party application markets. Emerging Android malware …

Android malware detection using parallel machine learning classifiers

SY Yerima, S Sezer, I Muttik - 2014 Eighth international …, 2014 - ieeexplore.ieee.org
Mobile malware has continued to grow at an alarming rate despite on-going mitigation
efforts. This has been much more prevalent on Android due to being an open platform that is …

Fest: A feature extraction and selection tool for Android malware detection

K Zhao, D Zhang, X Su, W Li - 2015 IEEE symposium on …, 2015 - ieeexplore.ieee.org
Android has become one of the most popular mobile operating systems because of
numerous applications (apps) it provides. However, Android malware downloaded from third …

Analysis of android malware detection performance using machine learning classifiers

HS Ham, MJ Choi - 2013 international conference on ICT …, 2013 - ieeexplore.ieee.org
As mobile devices have supported various services and contents, much personal
information such as private SMS messages, bank account information, etc. is scattered in …

Analysis of features selection and machine learning classifier in android malware detection

MZ Mas' ud, S Sahib, MF Abdollah… - 2014 International …, 2014 - ieeexplore.ieee.org
The proliferation of Android-based mobile devices and mobile applications in the market has
triggered the malware author to make the mobile devices as the next profitable target. With …

Android malware detection based on static analysis of characteristic tree

Q Li, X Li - 2015 International Conference on Cyber-Enabled …, 2015 - ieeexplore.ieee.org
The number of mobile malware is greatly increasing and the malware detection malware
has become a critical problem. Android is fast becoming the most popular mobile platform …

Mobile malware detection using op-code frequency histograms

G Canfora, F Mercaldo… - 2015 12th International …, 2015 - ieeexplore.ieee.org
Mobile malware has grown in scale and complexity, as a consequence of the unabated
uptake of smartphones worldwide. Malware writers have been developing detection evasion …

Static detection of Android malware by using permissions and API calls

PPK Chan, WK Song - 2014 International Conference on …, 2014 - ieeexplore.ieee.org
Android smart phones have become more and more popular due to its increasing
functionalities, compatibility and convenience. More and more Android applications have …