Hybrid Network Intrusion Detection System Using Machine Learning Classification and Rule Based Learning System

Detection System ◽

Learning System ◽

Hybrid Network ◽

Rule Based ◽

Machine Learning Classification ◽

Network Intrusion

Proceedings of the Fourth International Conference on Web Information Systems and Technologies ◽

A MACHINE LEARNING APPROACH WITH VERIFICATION OF PREDICTIONS AND ASSISTED SUPERVISION FOR A RULE-BASED NETWORK INTRUSION DETECTION SYSTEM

10.5220/0001524801430148 ◽

2008 ◽

Keyword(s):

Machine Learning ◽

Intrusion Detection ◽

Detection System ◽

Learning Approach ◽

Rule Based ◽

Network Intrusion ◽

Machine Learning Approach

Advances in Information, Communication and Cybersecurity - Lecture Notes in Networks and Systems ◽

A Suricata and Machine Learning Based Hybrid Network Intrusion Detection System

10.1007/978-3-030-91738-8_43 ◽

2022 ◽

pp. 474-485

Author(s):

Said Ouiazzane ◽

Malika Addou ◽

Fatimazahra Barramou

Keyword(s):

Machine Learning ◽

Intrusion Detection ◽

Detection System ◽

Hybrid Network ◽

Network Intrusion ◽

Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology - CCSEIT '12 ◽

Hybrid network intrusion detection system using expert rule based approach

10.1145/2393216.2393225 ◽

2012 ◽

Cited By ~ 2

Author(s):

A. S. Aneetha ◽

T. S. Indhu ◽

S. Bose

Keyword(s):

Intrusion Detection ◽

Detection System ◽

Hybrid Network ◽

Rule Based ◽

Expert Rule ◽

Network Intrusion ◽

Rule Based Approach

Comparison of Machine Learning Algorithms to Build Optimized Network Intrusion Detection System

Journal of Computational and Theoretical Nanoscience ◽

10.1166/jctn.2019.7929 ◽

2019 ◽

Vol 16 (5) ◽

pp. 2541-2549 ◽

Cited By ~ 2

Author(s):

H Parveen Sultana ◽

Nirvishi Shrivastava ◽

Dhanapal Durai Dominic ◽

N Nalini ◽

J. M Balajee

Keyword(s):

Machine Learning ◽

Intrusion Detection ◽

Detection System ◽

Learning Algorithms ◽

Machine Learning Algorithms ◽

Network Intrusion ◽

A novel Machine Learning-based Network Intrusion Detection System for Software-Defined Network

2020 7th NAFOSTED Conference on Information and Computer Science (NICS) ◽

10.1109/nics51282.2020.9335863 ◽

2020 ◽

Author(s):

Duc-Huy Le ◽

Hai-Anh Tran

Keyword(s):

Machine Learning ◽

Intrusion Detection ◽

Detection System ◽

Software Defined Network ◽

Network Intrusion ◽

Evolutionary optimization of a fuzzy rule-based network intrusion detection system

2010 Annual Meeting of the North American Fuzzy Information Processing Society ◽

10.1109/nafips.2010.5548289 ◽

2010 ◽

Cited By ~ 2

Author(s):

Terrence P. Fries

Keyword(s):

Intrusion Detection ◽

Detection System ◽

Fuzzy Rule ◽

Evolutionary Optimization ◽

Rule Based ◽

Network Intrusion ◽

A Sensitivity Analysis of Poisoning and Evasion Attacks in Network Intrusion Detection System Machine Learning Models

10.1109/milcom52596.2021.9652959 ◽

2021 ◽

Author(s):

Kevin Talty ◽

John Stockdale ◽

Nathaniel D. Bastian

Keyword(s):

Machine Learning ◽

Sensitivity Analysis ◽

Intrusion Detection ◽

Detection System ◽

Learning Models ◽

Network Intrusion ◽

Machine Learning Models

Machine Learning Classifiers for Network Intrusion Detection System: Comparative Study

2021 International Conference on Information Technology (ICIT) ◽

10.1109/icit52682.2021.9491770 ◽

2021 ◽

Author(s):

Omar Almomani ◽

Mohammed Amin Almaiah ◽

Adeeb Alsaaidah ◽

Sami Smadi ◽

Adel Hamdan Mohammad ◽

...

Keyword(s):

Machine Learning ◽

Intrusion Detection ◽

Comparative Study ◽

Detection System ◽

Machine Learning Classifiers ◽

Network Intrusion ◽

Learning Classifiers

Algorithms for Intelligent Systems - Advanced Computing Technologies and Applications ◽

Network Intrusion Detection System Using Machine Learning Approach

10.1007/978-981-15-3242-9_25 ◽

2020 ◽

pp. 255-268

Author(s):

Mrunal Teli ◽

Riya Singh ◽

Minal Kyada ◽

Ramchandra Mangrulkar

Keyword(s):

Machine Learning ◽

Intrusion Detection ◽

Detection System ◽

Learning Approach ◽

Network Intrusion ◽

Machine Learning Approach

Advances in Intelligent Systems and Computing - Recent Developments in Intelligent Computing, Communication and Devices ◽

Fusion of Misuse Detection with Anomaly Detection Technique for Novel Hybrid Network Intrusion Detection System

10.1007/978-981-10-3779-5_10 ◽

2017 ◽

pp. 73-87 ◽

Cited By ~ 1

Author(s):

Jamal Hussain ◽

Samuel Lalmuanawma

Keyword(s):

Intrusion Detection ◽

Anomaly Detection ◽

Detection System ◽

Detection Technique ◽

Hybrid Network ◽

Misuse Detection ◽

Network Intrusion ◽