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 …

Malicious application detection in android—a systematic literature review

T Sharma, D Rattan - Computer Science Review, 2021 - Elsevier
Context: In last decade, due to tremendous usage of smart phones it seems that these
gadgets became an essential necessity of day-to-day life. People are using new …

PermPair: Android Malware Detection Using Permission Pairs

A Arora, SK Peddoju, M Conti - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The Android smartphones are highly prone to spreading the malware due to intrinsic
feebleness that permits an application to access the internal resources when the user grants …

Androdialysis: Analysis of android intent effectiveness in malware detection

A Feizollah, NB Anuar, R Salleh, G Suarez-Tangil… - computers & …, 2017 - Elsevier
The wide popularity of Android systems has been accompanied by increase in the number
of malware targeting these systems. This is largely due to the open nature of the Android …

A taxonomy and qualitative comparison of program analysis techniques for security assessment of android software

A Sadeghi, H Bagheri, J Garcia… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
In parallel with the meteoric rise of mobile software, we are witnessing an alarming
escalation in the number and sophistication of the security threats targeted at mobile …

Dapasa: detecting android piggybacked apps through sensitive subgraph analysis

M Fan, J Liu, W Wang, H Li, Z Tian… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
With the exponential growth of smartphone adoption, malware attacks on smartphones have
resulted in serious threats to users, especially those on popular platforms, such as Android …

[HTML][HTML] Deep learning-based attack detection and classification in Android devices

A Gómez, A Muñoz - Electronics, 2023 - mdpi.com
The increasing proliferation of Androidbased devices, which currently dominate the market
with a staggering 72% global market share, has made them a prime target for attackers …

IPDroid: Android malware detection using intents and permissions

K Khariwal, J Singh, A Arora - 2020 Fourth world conference on …, 2020 - ieeexplore.ieee.org
With the increasing popularity of Android smart-phones over the years, the number of
malware attacks on Android has also increased. Around 26 million malware samples were …

Android malware detection based on image-based features and machine learning techniques

HM Ünver, K Bakour - SN Applied Sciences, 2020 - Springer
In this paper, a malware classification model has been proposed for detecting malware
samples in the Android environment. The proposed model is based on converting some files …

Deep android malware detection and classification

R Vinayakumar, KP Soman… - … on advances in …, 2017 - ieeexplore.ieee.org
Long short-term memory recurrent neural network (LSTM-RNN) have witnessed as a
powerful approach for capturing long-range temporal dependencies in sequences of …