Hybrid Intrusion Detection using MapReduce based Black Widow Optimized Convolutional Long Short-Term Memory Neural Networks

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

(2021) Muhammad Ashfaq Khan   Processes

Unified Deep Learning approach for Efficient Intrusion Detection System using Integrated Spatial–Temporal Features

(2021) P Rajesh Kanna et al.   KNOWLEDGE-BASED SYSTEMS

A deep learning method with wrapper based feature extraction for wireless intrusion detection system

(2020) Sydney Mambwe Kasongo et al.   COMPUTERS & SECURITY

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

DL-IDS: Extracting Features Using CNN-LSTM Hybrid Network for Intrusion Detection System

(2020) Pengfei Sun et al.   Security and Communication Networks

Genetic convolutional neural network for intrusion detection systems

(2020) Minh Tuan Nguyen et al.   Future Generation Computer Systems-The International Journal of eScience

A Scalable and Hybrid Intrusion Detection System Based on the Convolutional-LSTM Network

(2019) Muhammad Ashfaq Khan et al.   Symmetry-Basel

A Novel Data Privacy-Preserving Protocol for Multi-data Users by using genetic algorithm

(2019) P. Pandiaraja et al.   SOFT COMPUTING

An LSTM-Based Deep Learning Approach for Classifying Malicious Traffic at the Packet Level

(2019) Ren-Hung Hwang et al.   Applied Sciences-Basel

Deep recurrent neural network for IoT intrusion detection system

(2019) Muder Almiani et al.   SIMULATION MODELLING PRACTICE AND THEORY

Model of the intrusion detection system based on the integration of spatial-temporal features

(2019) Jianwu Zhang et al.   COMPUTERS & SECURITY

A hybrid deep learning model for efficient intrusion detection in big data environment

(2019) Mohammad Mehedi Hassan et al.   INFORMATION SCIENCES

Robust detection for network intrusion of industrial IoT based on multi-CNN fusion

(2019) Yanmiao Li et al.   MEASUREMENT

Intrusion detection system using an optimized kernel extreme learning machine and efficient features

(2019) Jamal Ghasemi et al.   SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES

Adaptive and online network intrusion detection system using clustering and Extreme Learning Machines

(2018) Setareh Roshan et al.   JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS

Anomaly-Based Intrusion Detection Using Extreme Learning Machine and Aggregation of Network Traffic Statistics in Probability Space

(2018) Buse Gul Atli et al.   Cognitive Computation

Leveraging LSTM Networks for Attack Detection in Fog-to-Things Communications

(2018) Abebe Diro et al.   IEEE COMMUNICATIONS MAGAZINE

A Novel Intrusion Detection Model for a Massive Network Using Convolutional Neural Networks

(2018) Kehe Wu et al.   IEEE Access

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

(2018) Congyuan Xu et al.   IEEE Access

Multi-level hybrid support vector machine and extreme learning machine based on modified K-means for intrusion detection system

(2017) Wathiq Laftah Al-Yaseen et al.   EXPERT SYSTEMS WITH APPLICATIONS

An efficient intrusion detection system based on hypergraph - Genetic algorithm for parameter optimization and feature selection in support vector machine

(2017) M.R. Gauthama Raman et al.   KNOWLEDGE-BASED SYSTEMS

A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks

(2017) Chuanlong Yin et al.   IEEE Access

Anomaly based intrusion detection for 802.11 networks with optimal features using SVM classifier

(2016) M. Usha et al.   WIRELESS NETWORKS

A hybrid network intrusion detection system using simplified swarm optimization (SSO)

(2012) Yuk Ying Chung et al.   APPLIED SOFT COMPUTING

Intrusion detection system: A comprehensive review

(2012) Hung-Jen Liao et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS