HCRNNIDS: Hybrid Convolutional Recurrent Neural Network-Based Network Intrusion Detection System

Implementing an intrusion detection and prevention system using Software-Defined Networking: Defending against ARP spoofing attacks and Blacklisted MAC Addresses

(2021) Thomas Girdler et al.   COMPUTERS & ELECTRICAL ENGINEERING

Intelligent Cyber Attack Detection and Classification for Network-Based Intrusion Detection Systems

(2021) Nuno Oliveira et al.   Applied Sciences-Basel

Multi-view deep learning for zero-day Android malware detection

(2021) Stuart Millar et al.   Journal of Information Security and Applications

On learning effective ensembles of deep neural networks for intrusion detection

(2021) F. Folino et al.   Information Fusion

New Hybrid Method for Attack Detection Using Combination of Evolutionary Algorithms, SVM, and ANN

(2020) Soodeh Hosseini et al.   Computer Networks

An Effective Convolutional Neural Network Based on SMOTE and Gaussian Mixture Model for Intrusion Detection in Imbalanced Dataset

(2020) Hongpo Zhang et al.   Computer Networks

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

(2020) Robertas Damasevicius et al.   Electronics

A Feature Selection Model for Network Intrusion Detection System Based on PSO, GWO, FFA and GA Algorithms

(2020) Omar Almomani   Symmetry-Basel

An integrated intrusion detection system using correlation‐based attribute selection and artificial neural network

(2020) I. Sumaiya Thaseen et al.   Transactions on Emerging Telecommunications Technologies

A Combination Strategy of Feature Selection Based on an Integrated Optimization Algorithm and Weighted K-Nearest Neighbor to Improve the Performance of Network Intrusion Detection

(2020) Hui Xu et al.   Electronics

A Review of Intrusion Detection Systems Using Machine and Deep Learning in Internet of Things: Challenges, Solutions and Future Directions

(2020) Javed Asharf et al.   Electronics

I-SiamIDS: an improved Siam-IDS for handling class imbalance in network-based intrusion detection systems

(2020) Punam Bedi et al.   APPLIED INTELLIGENCE

Network intrusion detection system: A systematic study of machine learning and deep learning approaches

(2020) Zeeshan Ahmad et al.   Transactions on Emerging Telecommunications Technologies

Toward Developing Efficient Conv-AE-Based Intrusion Detection System Using Heterogeneous Dataset

(2020) Muhammad Ashfaq Khan et al.   Electronics

A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications

(2020) Onur Avci et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Semi-supervised anomaly detection with dual prototypes autoencoder for industrial surface inspection

(2020) Jie Liu et al.   OPTICS AND LASERS IN ENGINEERING

Ensemble learning for intrusion detection systems: A systematic mapping study and cross-benchmark evaluation

(2020) Bayu Adhi Tama et al.   Computer Science Review

Intrusion detection system based on GA-fuzzy classifier for detecting malicious attacks

(2019) K. Pradeep Mohan Kumar et al.   CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE

A survey of autoencoder-based recommender systems

(2019) Guijuan Zhang et al.   Frontiers of Computer Science

Deep learning approaches for anomaly-based intrusion detection systems: A survey, taxonomy, and open issues

(2019) Arwa Aldweesh et al.   KNOWLEDGE-BASED SYSTEMS

Data imbalance in classification: Experimental evaluation

(2019) Fadi Thabtah et al.   INFORMATION SCIENCES

A LSTM based framework for handling multiclass imbalance in DGA botnet detection

(2018) Duc Tran et al.   NEUROCOMPUTING

Deep Learning Method for Denial of Service Attack Detection Based on Restricted Boltzmann Machine

(2018) Yadigar Imamverdiyev et al.   Big Data

HAST-IDS: Learning Hierarchical Spatial-Temporal Features Using Deep Neural Networks to Improve Intrusion Detection

(2018) Wei Wang et al.   IEEE Access

An Intrusion Detection System Using a Deep Neural Network With Gated Recurrent Units

(2018) Congyuan Xu et al.   IEEE Access

Network Intrusion Detection through Stacking Dilated Convolutional Autoencoders

(2017) Yang Yu et al.   Security and Communication Networks

A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks

(2017) Chuanlong Yin et al.   IEEE Access

Design of Multilevel Hybrid Classifier with Variant Feature Sets for Intrusion Detection System

(2016) Aslıhan AKYOL et al.   IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS

Effective Dimensionality Reduction of Payload-Based Anomaly Detection in TMAD Model for HTTP Payload

(2016)   KSII Transactions on Internet and Information Systems

Design of Multilevel Hybrid Classifier with Variant Feature Sets for Intrusion Detection System

(2016) Aslıhan AKYOL et al.   IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS

Detection of Denial-of-Service Attacks Based on Computer Vision Techniques

(2015) Zhiyuan Tan et al.   IEEE TRANSACTIONS ON COMPUTERS

Using a Prediction Model to Manage Cyber Security Threats

(2015) Venkatesh Jaganathan et al.   TheScientificWorldJOURNAL

Using a Prediction Model to Manage Cyber Security Threats

(2015) Venkatesh Jaganathan et al.   Scientific World Journal

Design of an Evolutionary Approach for Intrusion Detection

(2013) Gulshan Kumar et al.   TheScientificWorldJOURNAL

Unsupervised Network Intrusion Detection Systems: Detecting the Unknown without Knowledge

(2012) Pedro Casas et al.   COMPUTER COMMUNICATIONS