Computer Malicious Code Signal Detection based on Big Data Technology

X Liu - Scalable Computing: Practice and Experience, 2023 - scpe.org
The article addresses the challenges modelled by the inadequacy of traditional detection
methods in effectively handling the substantial volume of software behavior samples …

Mobile based Malware Detection using Artificial Intelligence Techniques a review

SS Jasim - Journal of Al-Qadisiyah for Computer Science and …, 2024 - jqcsm.qu.edu.iq
Malware attacks on mobile devices are becoming more common and more complicated
every year. Malware writers see the open-source Android app as their main target because …

War Strategy Algorithm-Based GAN Model for Detecting the Malware Attacks in Modern Digital Age

S Rudresha, A Raza, V Anand, H Payal… - Artificial Intelligence and …, 2023 - Springer
Malicious software (malware) assaults on computers are becoming more common, and this
is a huge security risk in the modern digital world. Malware detection is a popular area of …

Malware classification using deep learning

MQAA Alchalabi - 2023 - openaccess.altinbas.edu.tr
In this study, the performance of different machine learning algorithms was evaluated for
detecting malware based on the permissions used by Android applications. The study aimed …

Ransomware Detection Framework using Soft Voting-based Ensemble Learning

GP Gupta, TC Thakur, AK Dey - 2023 2nd International …, 2023 - ieeexplore.ieee.org
In recent years, many ransomware malware attacks on critical infrastructures have been
reported to steal sensitive information and to damage and disrupt the services of the …

[PDF][PDF] Malware Detection Based on Optimized Deep Learning in Data-driven Mode

Y Zhao, Y Liu - 2024 - bit.kuas.edu.tw
This article mainly explores how to use optimized deep learning techniques for malware
detection in data-driven mode. A deep learning model was designed, which combines the …

[PDF][PDF] Detection of Android Malware Using Machine Learning and Siamese Shot Learning Technique for Security

GA GASHGARI, EA ALDAKHEEL, AIA ALZAHRANI - 2023 - academia.edu
Android malware security tools that can swiftly identify and categorize various malware
classes to create rapid response strategies have been trendy in recent years. Although …

SVM-RF: A Hybrid Machine Learning Model for Detection of Malicious Network Traffic and Files

P Mathur, A Choudhary, C Kunndra, K Pareek… - … on Cryptology & …, 2022 - Springer
Since the inception of information technology, malwares have ravished cyberspace.
Malware is a curse that is born from the boon of information technology. The term 'malware'is …

A Study on Android Malware Classification by Using Federated Learning

VQ Vuong, NT Cam - International Conference on Intelligent Computing & …, 2023 - Springer
Android operating system is a mobile operating system that is always the highest market
share in the last five years. Security risks on Android operating system are increasing over …

Android Malware Detection Using Machine Learning: A Review

B Naseef-Ur-Rahman Chowdhury, A Haque… - arXiv e-prints, 2023 - Springer
Malware for Android is becoming increasingly dangerous to the safety of mobile devices and
the data they hold. Although machine learning (ML) techniques have been shown to be …