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 …

Evolution, detection and analysis of malware for smart devices

G Suarez-Tangil, JE Tapiador… - … surveys & tutorials, 2013 - ieeexplore.ieee.org
Smart devices equipped with powerful sensing, computing and networking capabilities have
proliferated lately, ranging from popular smartphones and tablets to Internet appliances …

[HTML][HTML] MalDozer: Automatic framework for android malware detection using deep learning

EMB Karbab, M Debbabi, A Derhab, D Mouheb - Digital investigation, 2018 - Elsevier
Android OS experiences a blazing popularity since the last few years. This predominant
platform has established itself not only in the mobile world but also in the Internet of Things …

MAPAS: a practical deep learning-based android malware detection system

J Kim, Y Ban, E Ko, H Cho, JH Yi - International Journal of Information …, 2022 - Springer
A lot of malicious applications appears every day, threatening numerous users. Therefore, a
surge of studies have been conducted to protect users from newly emerging malware by …

A survey of the applications of text mining in financial domain

BS Kumar, V Ravi - Knowledge-Based Systems, 2016 - Elsevier
Text mining has found a variety of applications in diverse domains. Of late, prolific work is
reported in using text mining techniques to solve problems in financial domain. The …

Droidsieve: Fast and accurate classification of obfuscated android malware

G Suarez-Tangil, SK Dash, M Ahmadi… - Proceedings of the …, 2017 - dl.acm.org
With more than two million applications, Android marketplaces require automatic and
scalable methods to efficiently vet apps for the absence of malicious threats. Recent …

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 …

Android malware familial classification and representative sample selection via frequent subgraph analysis

M Fan, J Liu, X Luo, K Chen, Z Tian… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The rapid increase in the number of Android malware poses great challenges to anti-
malware systems, because the sheer number of malware samples overwhelms malware …

Lightweight, obfuscation-resilient detection and family identification of android malware

J Garcia, M Hammad, S Malek - ACM Transactions on Software …, 2018 - dl.acm.org
The number of malicious Android apps is increasing rapidly. Android malware can damage
or alter other files or settings, install additional applications, and so on. To determine such …

Systematically understanding the cyber attack business: A survey

K Huang, M Siegel, S Madnick - ACM Computing Surveys (CSUR), 2018 - dl.acm.org
Cyber attacks are increasingly menacing businesses. Based on the literature review and
publicly available reports, this article conducts an extensive and consistent survey of the …