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An efficient class association rule‐pruning method for unified intrusion detection system using genetic algorithm

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/tee.20572openalex-snapshot
Network Intrusion Detection Using Class Association Rule Mining Based on Genetic Network Programming
inferredcites →https://doi.org/10.1007/11551188_6openalex-snapshot
GP Ensemble for Distributed Intrusion Detection Systems
inferredcites →https://doi.org/10.1007/3-540-45110-2_125openalex-snapshot
A Linear Genetic Programming Approach to Intrusion Detection
inferredcites →https://doi.org/10.1007/978-3-662-03315-9openalex-snapshot
Genetic Algorithms + Data Structures = Evolution Programs
inferredcites →https://doi.org/10.1007/bfb0094839openalex-snapshot
Representative association rules and minimum condition maximum consequence association rules
inferredcites →https://doi.org/10.1016/j.compeleceng.2007.05.010openalex-snapshot
Improving network security using genetic algorithm approach
inferredcites →https://doi.org/10.1016/s0950-7051(02)00024-2openalex-snapshot
Mining the optimal class association rule set
inferredcites →https://doi.org/10.1109/icde.1997.581756openalex-snapshot
Clustering association rules
inferredcites →https://doi.org/10.1109/mc.2002.1012428openalex-snapshot
Intrusion detection: a brief history and overview
inferredcites →https://doi.org/10.1109/tsmcc.2008.923876openalex-snapshot
Random-Forests-Based Network Intrusion Detection Systems
inferredcites →https://doi.org/10.1109/tsmcc.2010.2050685openalex-snapshot
An Intrusion-Detection Model Based on Fuzzy Class-Association-Rule Mining Using Genetic Network Programming
inferredcites →https://doi.org/10.1111/j.0824-7935.2004.00247.xopenalex-snapshot
Detecting New Forms of Network Intrusion Using Genetic Programming
inferredcites →https://doi.org/10.1145/347090.347101openalex-snapshot
Generating non-redundant association rules
inferredcites →https://doi.org/10.1145/382912.382914openalex-snapshot
A framework for constructing features and models for intrusion detection systems
inferredcites →https://doi.org/10.1145/967900.967989openalex-snapshot
Naive Bayes vs decision trees in intrusion detection systems
inferredcites →https://doi.org/10.1162/evco.2007.15.3.369openalex-snapshot
A Graph-Based Evolutionary Algorithm: Genetic Network Programming (GNP) and Its Extension Using Reinforcement Learning
inferredcites →https://doi.org/10.21236/ada375846openalex-snapshot
State of the Practice of Intrusion Detection Technologies
inferredcites →https://doi.org/10.21236/ada401496openalex-snapshot
Data Mining Approaches for Intrusion Detection
inferredcites →https://doi.org/10.2172/425295openalex-snapshot
The architecture of a network level intrusion detection system
inferredcites →https://doi.org/10.7916/d8fx7h6xopenalex-snapshot
Mining Audit Data to Build Intrusion Detection Models

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.3510538openalex-extracted
Understanding Cyber Forensics and Some of Its Tools
inferred← citeshttps://doi.org/10.1002/tee.22987openalex-snapshot
Intrusion detection system based on improved abc algorithm with tabu search
inferred← citeshttps://doi.org/10.1016/j.ins.2020.02.073openalex-snapshot
A survey of evolutionary computation for association rule mining
inferred← citeshttps://doi.org/10.1080/15230406.2020.1761452openalex-snapshot
Mining regional patterns of land use with adaptive adjacent criteria
inferred← citeshttps://doi.org/10.1109/access.2018.2868171openalex-snapshot
A Novel Semi-Supervised Learning Approach for Network Intrusion Detection on Cloud-Based Robotic System
inferred← citeshttps://doi.org/10.1109/icaccs51430.2021.9441925openalex-snapshot
Thwarting Cyber Crime and Phishing Attacks with Machine Learning: A Study
inferred← citeshttps://doi.org/10.1109/iceee59925.2023.00041openalex-snapshot
A Comparative Study of Machine Learning Methods for Intrusion Detection
inferred← citeshttps://doi.org/10.1145/3467477openalex-snapshot
Evolutionary Machine Learning: A Survey
inferred← citeshttps://doi.org/10.1541/ieejeiss.132.2033openalex-snapshot
Distance-based Classification using Average Matching Degree and its Application to Intrusion Detection Systems
inferred← citeshttps://doi.org/10.1541/ieejeiss.134.1908openalex-snapshot
Classification with Clustering and Gaussian Functions in Intrusion Detection System
inferred← citeshttps://doi.org/10.18280/ts.370106openalex-snapshot
An Image Recognition Algorithm for Defect Detection of Underground Pipelines Based on Convolutional Neural Network
inferred← citeshttps://doi.org/10.4304/jnw.8.6.1387-1394openalex-snapshot
Network Intrusion Detection Model based on Fuzzy Support Vector Machine
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