Prepare for trouble and make it double! Supervised – Unsupervised stacking for anomaly-based intrusion detection

The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation

(2020) Davide Chicco et al.   BMC GENOMICS

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

Efficient Distributed Preprocessing Model for Machine Learning-Based Anomaly Detection over Large-Scale Cybersecurity Datasets

(2020) Xavier Larriva-Novo et al.   Applied Sciences-Basel

A network intrusion detection method based on semantic Re-encoding and deep learning

(2020) Zhendong Wu et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

Deep learning methods in network intrusion detection: A survey and an objective comparison

(2020) Sunanda Gamage et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

Distributed real-time SlowDoS attacks detection over encrypted traffic using Artificial Intelligence

(2020) Norberto Garcia et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

A survey of network-based intrusion detection data sets

(2019) Markus Ring et al.   COMPUTERS & SECURITY

Network anomaly detection based on logistic regression of nonlinear chaotic invariants

(2019) Francesco Palmieri   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

Semi-supervised machine learning approach for DDoS detection

(2018) Mohamed Idhammad et al.   APPLIED INTELLIGENCE

UGR‘16: A new dataset for the evaluation of cyclostationarity-based network IDSs

(2018) Gabriel Maciá-Fernández et al.   COMPUTERS & SECURITY

Generating realistic intrusion detection system dataset based on fuzzy qualitative modeling

(2017) W. Haider et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

Intrusion detection techniques in cloud environment: A survey

(2017) Preeti Mishra et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

Optimal classifier for imbalanced data using Matthews Correlation Coefficient metric

(2017) Sabri Boughorbel et al.   PLoS One

A Comparative Evaluation of Unsupervised Anomaly Detection Algorithms for Multivariate Data

(2016) Markus Goldstein et al.   PLoS One

Reverse Nearest Neighbors in Unsupervised Distance-Based Outlier Detection

(2015) Milos Radovanovic et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range

(2015) Xiang Wan et al.   BMC Medical Research Methodology

DepSky

(2013) Alysson Bessani et al.   ACM Transactions on Storage

Toward developing a systematic approach to generate benchmark datasets for intrusion detection

(2012) Ali Shiravi et al.   COMPUTERS & SECURITY

Anomaly detection

(2009) Varun Chandola et al.   ACM COMPUTING SURVEYS