标题
An Efficient DenseNet-Based Deep Learning Model for Malware Detection
作者
关键词
-
出版物
Entropy
Volume 23, Issue 3, Pages 344
出版商
MDPI AG
发表日期
2021-03-15
DOI
10.3390/e23030344
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- 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
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