A Novel Approach for Network Intrusion Detection Using Multistage Deep Learning Image Recognition

Data augmentation based malware detection using convolutional neural networks

(2021) Ferhat Ozgur Catak et al.   PeerJ Computer Science

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

(2021) Robertas Damaševičius et al.   Electronics

An Efficient DenseNet-Based Deep Learning Model for Malware Detection

(2021) Jeyaprakash Hemalatha et al.   Entropy

A Review on Machine Learning Approaches for Network Malicious Behavior Detection in Emerging Technologies

(2021) Mahdi Rabbani et al.   Entropy

Botnet Attack Detection Using Local Global Best Bat Algorithm for Industrial Internet of Things

(2021) Abdullah Alharbi et al.   Electronics

Fault Diagnosis of Hydraulic Systems Based on Deep Learning Model With Multirate Data Samples

(2021) Keke Huang et al.   IEEE Transactions on Neural Networks and Learning Systems

Real time dataset generation framework for intrusion detection systems in IoT

(2020) Yahya Al-Hadhrami et al.   Future Generation Computer Systems-The International Journal of eScience

Towards a Reliable Comparison and Evaluation of Network Intrusion Detection Systems Based on Machine Learning Approaches

(2020) Roberto Magán-Carrión et al.   Applied Sciences-Basel

Towards Near-Real-Time Intrusion Detection for IoT Devices using Supervised Learning and Apache Spark

(2020) Valerio Morfino et al.   Electronics

LITNET-2020: An Annotated Real-World Network Flow Dataset for Network Intrusion Detection

(2020) Robertas Damasevicius et al.   Electronics

CNN-Based Network Intrusion Detection against Denial-of-Service Attacks

(2020) Jiyeon Kim et al.   Electronics

Representation of features as images with neighborhood dependencies for compatibility with convolutional neural networks

(2020) Omid Bazgir et al.   Nature Communications

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

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

Recurrent Neural Network Model for IoT and Networking Malware Threat Detection

(2020) Marcin Wozniak et al.   IEEE Transactions on Industrial Informatics

Hybrid Real-Time Protection System for Online Social Networks

(2019) Muneer Bani Yassein et al.   Foundations of Science

An innovative approach for real-time network traffic classification

(2019) Klenilmar Lopes Dias et al.   Computer Networks

HIT4Mal: Hybrid image transformation for malware classification

(2019) Duc‐Ly Vu et al.   Transactions on Emerging Telecommunications Technologies

Malware visualization methods based on deep convolution neural networks

(2019) Zhuojun Ren et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Malware identification using visualization images and deep learning

(2018) Sang Ni et al.   COMPUTERS & SECURITY

Detection of Malicious Code Variants Based on Deep Learning

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

Deep Learning Based Intrusion Detection With Adversaries

(2018) Zheng Wang   IEEE Access

Deep Learning and Visualization for Identifying Malware Families

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

Intrusion Detection in 802.11 Networks: Empirical Evaluation of Threats and a Public Dataset

(2016) Constantinos Kolias et al.   IEEE Communications Surveys and Tutorials

Ensemble based collaborative and distributed intrusion detection systems: A survey

(2016) Gianluigi Folino et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

Malware Analysis Using Visualized Image Matrices

(2014) KyoungSoo Han et al.   TheScientificWorldJOURNAL