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Detection and classification of anomaly intrusion using hierarchy clustering and SVM

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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/sec.592openalex-snapshot
Hybrid intelligent systems for detecting network intrusions
inferredcites →https://doi.org/10.1016/j.comnet.2015.07.019openalex-snapshot
Online anomaly detection using dimensionality reduction techniques for HTTP log analysis
inferredcites →https://doi.org/10.1016/j.cor.2004.03.019openalex-snapshot
Application of SVM and ANN for intrusion detection
inferredcites →https://doi.org/10.1016/j.engappai.2007.02.007openalex-snapshot
A parallel genetic local search algorithm for intrusion detection in computer networks
inferredcites →https://doi.org/10.1016/j.eswa.2010.12.006openalex-snapshot
Design and analysis of genetic fuzzy systems for intrusion detection in computer networks
inferredcites →https://doi.org/10.1016/j.eswa.2012.07.018openalex-snapshot
Algorithm learning based neural network integrating feature selection and classification
inferredcites →https://doi.org/10.1016/j.ins.2007.03.025openalex-snapshot
A hybrid machine learning approach to network anomaly detection
inferredcites →https://doi.org/10.1016/j.jnca.2005.06.003openalex-snapshot
Modeling intrusion detection system using hybrid intelligent systems
inferredcites →https://doi.org/10.1016/j.patcog.2009.05.017openalex-snapshot
A triangle area based nearest neighbors approach to intrusion detection
inferredcites →https://doi.org/10.1093/ietisy/e91-d.5.1282openalex-snapshot
A Clustering Method for Improving Performance of Anomaly-Based Intrusion Detection System
inferredcites →https://doi.org/10.1109/cisda.2009.5356528openalex-snapshot
A detailed analysis of the KDD CUP 99 data set
inferredcites →https://doi.org/10.1109/comst.2014.2336610openalex-snapshot
A Survey of Distance and Similarity Measures Used Within Network Intrusion Anomaly Detection
inferredcites →https://doi.org/10.1109/icos.2014.7042412openalex-snapshot
Comparison of genetic algorithm optimization on artificial neural network and support vector machine in intrusion detection system
inferredcites →https://doi.org/10.1109/ihmsc.2013.30openalex-snapshot
A New Hybrid Clustering Algorithm Based on Stimulated Annealing
inferredcites →https://doi.org/10.1109/jbhi.2015.2432832openalex-snapshot
Feature Selection Based on the SVM Weight Vector for Classification of Dementia
inferredcites →https://doi.org/10.1109/surv.2013.052213.00046openalex-snapshot
Network Anomaly Detection: Methods, Systems and Tools
inferredcites →https://doi.org/10.1109/tit.2014.2387857openalex-snapshot
Active Hypothesis Testing for Anomaly Detection
inferredcites →https://doi.org/10.1109/tpami.2013.111openalex-snapshot
Anomaly Detection and Localization in Crowded Scenes
inferredcites →https://doi.org/10.1587/transcom.e92.b.1981openalex-snapshot
Unsupervised Anomaly Detection Based on Clustering and Multiple One-Class SVM
inferredcites →https://doi.org/10.3233/ifs-141419openalex-snapshot
Co-FQL: Anomaly detection using cooperative fuzzy Q-learning in network
inferredcites →https://doi.org/10.3923/itj.2011.648.655openalex-snapshot
A K-Means and Naive Bayes Learning Approach for Better Intrusion Detection
inferredcites →https://doi.org/10.4156/aiss.vol4.issue2.6openalex-snapshot
Applying Fuzzy C-means Clustering and Multiple SVM to Silicon Content Prediction in Hot Metal
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.

inferred← citeshttps://doi.org/10.1007/s11036-023-02222-7openalex-snapshot
Intrusion Detection Method Based on Denoising Diffusion Probabilistic Models for UAV Networks
inferred← citeshttps://doi.org/10.1007/s13369-022-07412-1openalex-snapshot
Intrusion Detection Systems: A State-of-the-Art Taxonomy and Survey
inferred← citeshttps://doi.org/10.1016/j.ssci.2019.05.012openalex-snapshot
Safety detection algorithm in sensor network based on ant colony optimization with improved multiple clustering algorithms
inferred← citeshttps://doi.org/10.1088/1757-899x/563/5/052019openalex-snapshot
An Improved Network Intrusion Detection Based on Deep Neural Network
inferred← citeshttps://doi.org/10.1109/access.2023.3290613openalex-snapshot
A Hierarchical Intrusion Detection Model Combining Multiple Deep Learning Models With Attention Mechanism
inferred← citeshttps://doi.org/10.1109/comst.2018.2847722openalex-snapshot
A Detailed Investigation and Analysis of Using Machine Learning Techniques for Intrusion Detection
inferred← citeshttps://doi.org/10.1109/icicse52190.2021.9404100openalex-snapshot
Network User Behavior Authentication Based on Hidden Markov Model
inferred← citeshttps://doi.org/10.1109/itnec48623.2020.9085028openalex-snapshot
A High-performance Web Attack Detection Method based on CNN-GRU Model
inferred← citeshttps://doi.org/10.1109/nnice58320.2023.10105733openalex-snapshot
An Intrusion Detection Method Based on Transformer-LSTM Model
inferred← citeshttps://doi.org/10.1155/2019/1908485openalex-snapshot
A Fault Diagnosis Model for Rotating Machinery Using VWC and MSFLA‐SVM Based on Vibration Signal Analysis
inferred← citeshttps://doi.org/10.15407/pp2026.03.045openalex-snapshot
Model of functional resilience reserve of an information system in the conditions of zero-day incidents
inferred← citeshttps://doi.org/10.18080/jtde.v8n4.307openalex-snapshot
Review of Current Machine Learning Approaches for Anomaly Detection in Network Traffic
inferred← citeshttps://doi.org/10.21203/rs.3.rs-2284207/v1openalex-snapshot
A Survey of Advancement in AnomalyIntrusion Detection System
inferred← citeshttps://doi.org/10.32010/26166127.2020.3.2.196.206openalex-snapshot
ANOMALY DETECTION USING MACHINE LEARNING APPROACHES
inferred← citeshttps://doi.org/10.3390/app8091535openalex-snapshot
A Filter Feature Selection Algorithm Based on Mutual Information for Intrusion Detection
inferred← citeshttps://doi.org/10.35940/ijrte.d1122.1284s219openalex-snapshot
Examination of Different Intrusion Detection System in Wireless Sensor Network Environment
inferred← citeshttps://doi.org/10.4018/ijsita.2018010104openalex-snapshot
Data Mining Techniques and Applications
inferred← citeshttps://doi.org/10.55041/ijsrem37260openalex-snapshot
Detection of Intrusions using Transformer - LSTM Model
inferred← citeshttps://doi.org/10.56294/dm202272openalex-snapshot
Anomaly Detection in Network Traffic using Machine Learning for Early Threat Detection
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