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MLH-IDS: A Multi-Level Hybrid Intrusion Detection Method
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Introduction to Bayesian Networks
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ADWICE – Anomaly Detection with Real-Time Incremental Clustering
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Development of a Comprehensive Intrusion Detection System – Challenges and Approaches
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Ranking Outliers Using Symmetric Neighborhood Relationship
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UNADA: Unsupervised Network Anomaly Detection Using Sub-space Outliers Ranking
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Multi-density Clustering Algorithm for Anomaly Detection Using KDD’99 Dataset
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Packet and Flow Based Network Intrusion Dataset
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Cluster-based outlier detection
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Silhouettes: A graphical aid to the interpretation and validation of cluster analysis
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A hybrid intrusion detection system design for computer network security
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RT-UNNID: A practical solution to real-time network-based intrusion detection using unsupervised neural networks
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Anomaly-based network intrusion detection: Techniques, systems and challenges
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An intelligent intrusion detection system (IDS) for anomaly and misuse detection in computer networks
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Design of multiple-level hybrid classifier for intrusion detection system using Bayesian clustering and decision trees
inferredcites →https://doi.org/10.1023/a:1024974810270openalex-snapshot
Outlier Detection Algorithms in Data Mining Systems
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Well-Separated Clusters and Optimal Fuzzy Partitions
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A Denial of Service Detector based on Maximum Likelihood Detection and the Random Neural Network
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A Survey of Outlier Detection Methods in Network Anomaly Identification
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Surveying Port Scans and Their Detection Methodologies
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A validity measure for fuzzy clustering
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A hybrid network intrusion detection technique using random forests
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A detailed analysis of the KDD CUP 99 data set
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Evaluating intrusion detection systems: the 1998 DARPA off-line intrusion detection evaluation
inferredcites →https://doi.org/10.1109/iccis.2004.1460703openalex-snapshot
Design of mnitiple-level tree classifiers for intrusion detection system
inferredcites →https://doi.org/10.1109/iccse.2010.5593765openalex-snapshot
Feature selection based on Rough set and modified genetic algorithm for intrusion detection
inferredcites →https://doi.org/10.1109/icecs.2003.1302048openalex-snapshot
NFIDS: a neuro-fuzzy intrusion detection system
inferredcites →https://doi.org/10.1109/iciecs.2009.5366474openalex-snapshot
Three-Level Hybrid Intrusion Detection System
inferredcites →https://doi.org/10.1109/icmlc.2003.1259925openalex-snapshot
Hybrid neural network and C4.5 for misuse detection
inferredcites →https://doi.org/10.1109/icnsc.2006.1673246openalex-snapshot
Flow-based Statistical Aggregation Schemes for Network Anomaly Detection
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A scalable parallel subspace clustering algorithm for massive data sets
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Fuzzy network profiling for intrusion detection
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An Overview of IP Flow-Based Intrusion Detection
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Hybrid Intrusion Detection with Weighted Signature Generation over Anomalous Internet Episodes
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A Cluster Separation Measure
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A Mixed Unsupervised Clustering-Based Intrusion Detection Model
inferredcites →https://doi.org/10.1111/j.2044-8317.1976.tb00714.xopenalex-snapshot
QUADRATIC ASSIGNMENT AS A GENERAL DATA ANALYSIS STRATEGY
inferredcites →https://doi.org/10.21236/ada401496openalex-snapshot
Data Mining Approaches for Intrusion Detection
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Data mining: concepts and techniques
inferredcites →https://doi.org/10.7916/d8mp5904openalex-snapshot
Intrusion detection with unlabeled data using clustering
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Network intrusion detection based on ensemble classification and feature selection method for cloud computing
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Intelligent Network Awareness
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Analysis of Neural Network Training and Cost Functions Impact on the Accuracy of IDS and SIEM Systems
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Computer Network Information Security Protection Strategy Based on Clustering Algorithms
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Detecting Anomalous Network Traffic Using Evidence Theory
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Analysis of Machine Learning Techniques Based Intrusion Detection Systems
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Two-Layer Intrusion Detection Model Based on Ensemble Classifier
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Intrusion Detection System Based on Modified K-means and Multi-level Support Vector Machines
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Efficient feature selection and classification through ensemble method for network intrusion detection on cloud computing
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A survey of intrusion detection datasets for communication networks
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Unification of K-Nearest Neighbor (KNN) with Distance Aware Algorithm for Intrusion Detection in Evolving Networks Like IoT
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Developing new deep-learning model to enhance network intrusion classification
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An efficient flow-based multi-level hybrid intrusion detection system for software-defined networks
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A Class-Specific Intrusion Detection Model: Hierarchical Multi-class IDS Model
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Flow-based intrusion detection: Techniques and challenges
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A novel architecture combined with optimal parameters for back propagation neural networks applied to anomaly network intrusion detection
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