Detection of Exceptional Malware Variants Using Deep Boosted Feature Spaces and Machine Learning

COVID-19 detection in chest X-ray images using deep boosted hybrid learning

(2021) Saddam Hussain Khan et al.   COMPUTERS IN BIOLOGY AND MEDICINE

The rise of machine learning for detection and classification of malware: Research developments, trends and challenges

(2020) Daniel Gibert et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

A survey of the recent architectures of deep convolutional neural networks

(2020) Asifullah Khan et al.   ARTIFICIAL INTELLIGENCE REVIEW

Malware Classification with Improved Convolutional Neural Network Model

(2020) Sumit S. Lad et al.   International Journal of Computer Network and Information Security

Malicious code detection based on CNNs and multi-objective algorithm

(2019) Zhihua Cui et al.   JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING

DeepDetect: Detection of Distributed Denial of Service Attacks Using Deep Learning

(2019) Muhammad Asad et al.   COMPUTER JOURNAL

Malware identification using visualization images and deep learning

(2018) Sang Ni et al.   COMPUTERS & SECURITY

MalDozer: Automatic framework for android malware detection using deep learning

(2018) ElMouatez Billah Karbab et al.   Digital Investigation

Deep learning at the shallow end: Malware classification for non-domain experts

(2018) Quan Le et al.   Digital Investigation

Detection of Malicious Code Variants Based on Deep Learning

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

Zero-day malware detection using transferred generative adversarial networks based on deep autoencoders

(2018) Jin-Young Kim et al.   INFORMATION SCIENCES

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

Survey of machine learning techniques for malware analysis

(2018) Daniele Ucci et al.   COMPUTERS & SECURITY

A multi-verse optimizer approach for feature selection and optimizing SVM parameters based on a robust system architecture

(2017) Hossam Faris et al.   NEURAL COMPUTING & APPLICATIONS