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 …

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 …

A review of android malware detection approaches based on machine learning

K Liu, S Xu, G Xu, M Zhang, D Sun, H Liu - IEEE access, 2020 - ieeexplore.ieee.org
Android applications are developing rapidly across the mobile ecosystem, but Android
malware is also emerging in an endless stream. Many researchers have studied the …

Data-driven android malware intelligence: a survey

J Qiu, S Nepal, W Luo, L Pan, Y Tai, J Zhang… - Machine Learning for …, 2019 - Springer
Android has dominated the smartphone market and become the most popular mobile
operating system. This rapidly increasing market share of Android has contributed to the …

Android malware characterization using metadata and machine learning techniques

I Martín, JA Hernández, A Muñoz… - Security and …, 2018 - Wiley Online Library
Android malware has emerged as a consequence of the increasing popularity of
smartphones and tablets. While most previous work focuses on inherent characteristics of …

DroidDolphin: a dynamic Android malware detection framework using big data and machine learning

WC Wu, SH Hung - Proceedings of the 2014 conference on research in …, 2014 - dl.acm.org
Smartphones are getting more and more popular nowadays with various kinds of
applications to make our lives more convenient. Unfortunately, malicious applications, also …

Andmfc: Android malware family classification framework

S Türker, AB Can - 2019 IEEE 30th International Symposium on …, 2019 - ieeexplore.ieee.org
As the popularity of Android mobile operating system grows, the number of malicious
software have increased extensively. Therefore, many research efforts have been done on …

Identification of significant permissions for efficient android malware detection

H Rathore, SK Sahay, R Rajvanshi… - International conference on …, 2020 - Springer
Abstract Since Google unveiled Android OS for smartphones, malware are thriving with 3Vs,
ie volume, velocity and variety. A recent report indicates that one out of every five …

Android malware detection based on vulnerable feature aggregation

A Roy, DS Jas, G Jaggi, K Sharma - Procedia Computer Science, 2020 - Elsevier
Android has paved the way for the smartphone revolution. With the ever-growing
advancements in technology, there is an inherent increase in the user reliance upon mobile …

A survey of android malware static detection technology based on machine learning

Q Wu, X Zhu, B Liu - Mobile Information Systems, 2021 - Wiley Online Library
With the rapid growth of Android devices and applications, the Android environment faces
more security threats. Malicious applications stealing usersʼ privacy information, sending …