LinRegDroid: Detection of Android malware using multiple linear regression models-based classifiers

DÖ Şahın, S Akleylek, E Kiliç - IEEE Access, 2022 - ieeexplore.ieee.org
In this study, a framework for Android malware detection based on permissions is presented.
This framework uses multiple linear regression methods. Application permissions, which are …

Android malware detection with contrasting permission patterns

P Xiong, X Wang, W Niu, T Zhu, G Li - China Communications, 2014 - ieeexplore.ieee.org
As the risk of malware is sharply increasing in Android platform, Android malware detection
has become an important research topic. Existing works have demonstrated that required …

Dynamic permissions based android malware detection using machine learning techniques

A Mahindru, P Singh - Proceedings of the 10th innovations in software …, 2017 - dl.acm.org
Android is by far the most widely used mobile phone operating system around. However,
Android based applications are highly vulnerable to various types of malware attacks …

Permission Sensitivity‐Based Malicious Application Detection for Android

Y Song, Y Geng, J Wang, S Gao… - Security and …, 2021 - Wiley Online Library
Since a growing number of malicious applications attempt to steal users' private data by
illegally invoking permissions, application stores have carried out many malware detection …

NATICUSdroid: A malware detection framework for Android using native and custom permissions

A Mathur, LM Podila, K Kulkarni, Q Niyaz… - Journal of Information …, 2021 - Elsevier
The rapid growth of Android apps and its worldwide popularity in the smartphone market has
made it an easy and accessible target for malware. In the past few years, the Android …

Machine learning aided Android malware classification

N Milosevic, A Dehghantanha, KKR Choo - Computers & Electrical …, 2017 - Elsevier
The widespread adoption of Android devices and their capability to access significant
private and confidential information have resulted in these devices being targeted by …

A novel permission-based Android malware detection system using feature selection based on linear regression

DÖ Şahin, OE Kural, S Akleylek, E Kılıç - Neural Computing and …, 2023 - Springer
With the developments in mobile and wireless technology, mobile devices have become an
important part of our lives. While Android is the leading operating system in market share, it …

A probabilistic discriminative model for android malware detection with decompiled source code

L Cen, CS Gates, L Si, N Li - IEEE Transactions on Dependable …, 2014 - ieeexplore.ieee.org
Mobile devices are an important part of our everyday lives, and the Android platform has
become a market leader. In recent years a number of approaches for Android malware …

Significant permission identification for machine-learning-based android malware detection

J Li, L Sun, Q Yan, Z Li, W Srisa-An… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The alarming growth rate of malicious apps has become a serious issue that sets back the
prosperous mobile ecosystem. A recent report indicates that a new malicious app for …

A systematic overview of android malware detection

L Meijin, F Zhiyang, W Junfeng, C Luyu… - Applied Artificial …, 2022 - Taylor & Francis
Due to the completely open-source nature of Android, the exploitable vulnerability of
malware attacks is increasing. To stay ahead of other similar review work attempting to deal …