An optimized ensemble prediction model using AutoML based on soft voting classifier for network intrusion detection

Anomaly-based intrusion detection system for IoT networks through deep learning model

(2022) Tanzila Saba et al.   COMPUTERS & ELECTRICAL ENGINEERING

CL-MLSP: The design of a detection mechanism for sinkhole attacks in smart cities

(2022) Arun Kumar Sangaiah et al.   MICROPROCESSORS AND MICROSYSTEMS

DFAID: Density‐aware and feature‐deviated active intrusion detection over network traffic streams

(2022) Bin Li et al.   COMPUTERS & SECURITY

Ensemble Prediction Approach Based on Learning to Statistical Model for Efficient Building Energy Consumption Management

(2021) Anam Nawaz Khan et al.   Symmetry-Basel

A novel model for anomaly detection in network traffic based on kernel support vector machine

(2021) Qian Ma et al.   COMPUTERS & SECURITY

WR-SVM Model Based on the Margin Radius Approach for Solving the Minimum Enclosing Ball Problem in Support Vector Machine Classification

(2021) Atif Rizwan et al.   Applied Sciences-Basel

A fast network intrusion detection system using adaptive synthetic oversampling and LightGBM

(2021) Jingmei Liu et al.   COMPUTERS & SECURITY

An Ensemble of Prediction and Learning Mechanism for Improving Accuracy of Anomaly Detection in Network Intrusion Environments

(2021) Imran et al.   Sustainability

A New Method for Flow-Based Network Intrusion Detection Using the Inverse Potts Model

(2021) Camila F. T. Pontes et al.   IEEE Transactions on Network and Service Management

Network intrusion detection based on IE-DBN model

(2021) Huaping Jia et al.   COMPUTER COMMUNICATIONS

A hybrid Intrusion Detection System based on Sparse autoencoder and Deep Neural Network

(2021) K. Narayana Rao et al.   COMPUTER COMMUNICATIONS

A lightweight supervised intrusion detection mechanism for IoT networks

(2021) Souradip Roy et al.   Future Generation Computer Systems-The International Journal of eScience

A Softwarized Intrusion Detection System for the RPL-based Internet of Things networks

(2021) George Violettas et al.   Future Generation Computer Systems-The International Journal of eScience

Intrusion detection for network based cloud computing by custom RC-NN and optimization

(2021) T. Thilagam et al.   ICT Express

A Stacking Ensemble for Network Intrusion Detection Using Heterogeneous Datasets

(2020) Smitha Rajagopal et al.   Security and Communication Networks

IntruDTree: A Machine Learning Based Cyber Security Intrusion Detection Model

(2020) Iqbal H. Sarker et al.   Symmetry-Basel

Wireless Sensor Networks Intrusion Detection Based on SMOTE and the Random Forest Algorithm

(2019) Xiaopeng Tan et al.   SENSORS

A New Hybrid Machine Learning for Cybersecurity Threat Detection Based on Adaptive Boosting

(2019) Ployphan Sornsuwit et al.   APPLIED ARTIFICIAL INTELLIGENCE

Formation lithology classification using scalable gradient boosted decision trees

(2019) Vikrant A. Dev et al.   COMPUTERS & CHEMICAL ENGINEERING

An integrated rule based intrusion detection system: analysis on UNSW-NB15 data set and the real time online dataset

(2019) Vikash Kumar et al.   Cluster Computing-The Journal of Networks Software Tools and Applications

Data imbalance in classification: Experimental evaluation

(2019) Fadi Thabtah et al.   INFORMATION SCIENCES

Intrusion Detection and Security Calculation in Industrial Cloud Storage based on an Improved Dynamic Immune Algorithm

(2018) Weikai Wang et al.   INFORMATION SCIENCES

High-dimensional multimedia classification using deep CNN and extended residual units

(2018) Pourya Shamsolmoali et al.   MULTIMEDIA TOOLS AND APPLICATIONS

A Detection Method for Anomaly Flow in Software Defined Network

(2018) Huijun Peng et al.   IEEE Access

Enhanced Network Anomaly Detection Based on Deep Neural Networks

(2018) Sheraz Naseer et al.   IEEE Access

Hybridization of computational intelligence methods for attack detection in computer networks

(2017) A. Branitskiy et al.   Journal of Computational Science

A novel SVM-kNN-PSO ensemble method for intrusion detection system

(2016) Abdulla Amin Aburomman et al.   APPLIED SOFT COMPUTING

Machine learning predictive models for mineral prospectivity: An evaluation of neural networks, random forest, regression trees and support vector machines

(2015) V. Rodriguez-Galiano et al.   ORE GEOLOGY REVIEWS

Optimal MLP neural network classifier for fault detection of three phase induction motor

(2009) Vilas N. Ghate et al.   EXPERT SYSTEMS WITH APPLICATIONS