Detection approaches for android malware: Taxonomy and review analysis

HHR Manzil, SM Naik - Expert Systems with Applications, 2024 - Elsevier
The main objective of this review is to present an in-depth study of Android malware
detection approaches. This article provides a comprehensive survey of 150 studies on …

Transfer learning for image-based malware detection for iot

P Panda, OK CU, S Marappan, S Ma, D Veesani Nandi - Sensors, 2023 - mdpi.com
The tremendous growth in online activity and the Internet of Things (IoT) led to an increase
in cyberattacks. Malware infiltrated at least one device in almost every household. Various …

MIGAN: GAN for facilitating malware image synthesis with improved malware classification on novel dataset

O Sharma, A Sharma, A Kalia - Expert Systems with Applications, 2024 - Elsevier
Malware visualization is a technique wherein malware binaries are represented as
grayscale or color images in order to identify and extract discriminating features for …

Windows and IoT malware visualization and classification with deep CNN and Xception CNN using Markov images

O Sharma, A Sharma, A Kalia - Journal of Intelligent Information Systems, 2023 - Springer
Context Technological advances have led to a tremendous increase in complexity and
volume of specialized malware, affecting computational devices across the globe. Along …

Tri-channel visualised malicious code classification based on improved ResNet

S Li, J Wang, Y Song, S Wang - Applied Intelligence, 2024 - Springer
As malicious code attacks continue to evolve, attackers leverage techniques like packing
and code obfuscation to generate numerous variants, challenging traditional detection …

An Attention Mechanism for Combination of CNN and VAE for Image-Based Malware Classification

T Van Dao, H Sato, M Kubo - IEEE Access, 2022 - ieeexplore.ieee.org
Currently, malware is increasing in both number and complexity dramatically. Several
techniques and methodologies have been proposed to detect and neutralize malicious …

A lightweight model for malicious code classification based on structural reparameterisation and large convolutional kernels

S Li, J Wang, Y Song, S Wang, Y Wang - International Journal of …, 2024 - Springer
With the advancement of adversarial techniques for malicious code, malevolent attackers
have propagated numerous malicious code variants through shell coding and code …

Malware Variants Detection Model Based on MFF–HDBA

S Wang, J Wang, Y Song, S Li, W Huang - Applied Sciences, 2022 - mdpi.com
A massive proliferation of malware variants has posed serious and evolving threats to
cybersecurity. Developing intelligent methods to cope with the situation is highly necessary …

PAFE: A lightweight visualization-based fast malware classification method

S Li, J Wang, S Wang, Y Song - Heliyon, 2024 - cell.com
With the development of automated malware toolkits, cybersecurity faces evolving threats.
Although visualization-based malware analysis has proven to be an effective method …

Dynamic IoT malware detection in Android systems using profile hidden Markov models

N Abanmi, H Kurdi, M Alzamel - Applied Sciences, 2022 - mdpi.com
The prevalence of malware attacks that target IoT systems has raised an alarm and
highlighted the need for efficient mechanisms to detect and defeat them. However, detecting …