A systematic literature review of android malware detection using static analysis

Y Pan, X Ge, C Fang, Y Fan - Ieee Access, 2020 - ieeexplore.ieee.org
Android malware has been in an increasing trend in recent years due to the pervasiveness
of Android operating system. Android malware is installed and run on the smartphones …

Deep learning for android malware defenses: a systematic literature review

Y Liu, C Tantithamthavorn, L Li, Y Liu - ACM Computing Surveys, 2022 - dl.acm.org
Malicious applications (particularly those targeting the Android platform) pose a serious
threat to developers and end-users. Numerous research efforts have been devoted to …

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 …

Droidfusion: A novel multilevel classifier fusion approach for android malware detection

SY Yerima, S Sezer - IEEE transactions on cybernetics, 2018 - ieeexplore.ieee.org
Android malware has continued to grow in volume and complexity posing significant threats
to the security of mobile devices and the services they enable. This has prompted increasing …

A malware detection approach using autoencoder in deep learning

X **ng, X **, H Elahi, H Jiang, G Wang - Ieee Access, 2022 - ieeexplore.ieee.org
Today, in the field of malware detection, the expanding limitations of traditional detection
methods and the increasing accuracy of detection methods designed on the basis of artificial …

End-to-end malware detection for android IoT devices using deep learning

Z Ren, H Wu, Q Ning, I Hussain, B Chen - Ad Hoc Networks, 2020 - Elsevier
Abstract The Internet of Things (IoT) has grown rapidly in recent years and has become one
of the most active areas in the global market. As an open source platform with a large …

A multimodal malware detection technique for Android IoT devices using various features

R Kumar, X Zhang, W Wang, RU Khan, J Kumar… - IEEE …, 2019 - ieeexplore.ieee.org
Internet of things (IoT) is revolutionizing this world with its evolving applications in various
aspects of life such as sensing, healthcare, remote monitoring, and so on. Android devices …

Intrusion detection system for internet of things based on temporal convolution neural network and efficient feature engineering

A Derhab, A Aldweesh, AZ Emam… - … and Mobile Computing, 2020 - Wiley Online Library
In the era of the Internet of Things (IoT), connected objects produce an enormous amount of
data traffic that feed big data analytics, which could be used in discovering unseen patterns …

A method for automatic android malware detection based on static analysis and deep learning

M İbrahim, B Issa, MB Jasser - IEEE Access, 2022 - ieeexplore.ieee.org
The computers nowadays are being replaced by the smartphones for the most of the internet
users around the world, and Android is getting the most of the smartphone systems' market …

Robust deep learning early alarm prediction model based on the behavioural smell for android malware

E Amer, S El-Sappagh - Computers & Security, 2022 - Elsevier
Due to the widespread expansion of the Android malware industry, malicious Android
processes mining became a necessity to understand their behavior. Nevertheless, due to …