Machine Learning Algorithms for Network Intrusion Detection
- 18 September 2018
- book chapter
- Published by Springer Nature
- p. 151-179
Abstract
No abstract availableKeywords
This publication has 77 references indexed in Scilit:
- Intrusion detection model using fusion of chi-square feature selection and multi class SVMJournal of King Saud University Computer and Information Sciences, 2017
- Random Forest Modeling for Network Intrusion Detection SystemProcedia Computer Science, 2016
- A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion DetectionIEEE Communications Surveys & Tutorials, 2016
- Artificial intelligence in network intrusion detection2015
- K-Nearest-Neighbours with a novel similarity measure for intrusion detection2013
- Intrusion detection system: A comprehensive reviewJournal of Network and Computer Applications, 2013
- Intrusion Detection using Naive Bayes Classifier with Feature ReductionProcedia Technology, 2012
- Outside the Closed World: On Using Machine Learning for Network Intrusion Detection2010
- A Mixed Unsupervised Clustering-Based Intrusion Detection Model2009
- A hierarchical SOM-based intrusion detection systemEngineering Applications of Artificial Intelligence, 2007