An Efficient DenseNet-Based Deep Learning Model for Malware Detection

Ensemble-Based Classification Using Neural Networks and Machine Learning Models for Windows PE Malware Detection

(2021) Robertas Damaševičius et al.   Electronics

Image-Based Malware Classification using Ensemble of CNN Architectures (IMCEC)

(2020) Danish Vasan et al.   COMPUTERS & SECURITY

DeNNeS: deep embedded neural network expert system for detecting cyber attacks

(2020) Samaneh Mahdavifar et al.   NEURAL COMPUTING & APPLICATIONS

Malware detection in industrial internet of things based on hybrid image visualization and deep learning model

(2020) Hamad Naeem et al.   Ad Hoc Networks

Hybrid Malware Classification Method Using Segmentation-Based Fractal Texture Analysis and Deep Convolution Neural Network Features

(2020) Maryam Nisa et al.   Applied Sciences-Basel

Android malware detection method based on bytecode image

(2020) Yuxin Ding et al.   Journal of Ambient Intelligence and Humanized Computing

Ensemble machine learning approaches for webshell detection in Internet of things environments

(2020) Binbin Yong et al.   Transactions on Emerging Telecommunications Technologies

Deep Feature Extraction and Classification of Android Malware Images

(2020) Jaiteg Singh et al.   SENSORS

A Multi-Level Deep Learning System for Malware Detection

(2019) Wei Zhong et al.   EXPERT SYSTEMS WITH APPLICATIONS

Detecting malware evolution using support vector machines

(2019) Mayuri Wadkar et al.   EXPERT SYSTEMS WITH APPLICATIONS

Malware identification using visualization images and deep learning

(2018) Sang Ni et al.   COMPUTERS & SECURITY

Recent Progress in Software Security

(2018) Edward Amoroso   IEEE SOFTWARE

Detection of Malicious Code Variants Based on Deep Learning

(2018) Zhihua Cui et al.   IEEE Transactions on Industrial Informatics

Malware Visualization for Fine-Grained Classification

(2018) Jianwen Fu et al.   IEEE Access

A state-of-the-art survey of malware detection approaches using data mining techniques

(2018) Alireza Souri et al.   Human-centric Computing and Information Sciences

Automatic Malware Classification via PRICoLBP

(2018) Hanbing Yan et al.   CHINESE JOURNAL OF ELECTRONICS

Deep Learning and Visualization for Identifying Malware Families

(2018) Guosong Sun et al.   IEEE Transactions on Dependable and Secure Computing

Deep learning

(2015) Yann LeCun et al.   NATURE

The MALICIA dataset: identification and analysis of drive-by download operations

(2014) Antonio Nappa et al.   International Journal of Information Security

A survey of emerging threats in cybersecurity

(2014) Julian Jang-Jaccard et al.   JOURNAL OF COMPUTER AND SYSTEM SCIENCES

Malware Analysis Using Visualized Image Matrices

(2014) KyoungSoo Han et al.   TheScientificWorldJOURNAL

Classification of malware based on integrated static and dynamic features

(2012) Rafiqul Islam et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

Obfuscation: The Hidden Malware

(2011) Philip OKane et al.   IEEE SECURITY & PRIVACY

Opcode sequences as representation of executables for data-mining-based unknown malware detection

(2011) Igor Santos et al.   INFORMATION SCIENCES