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A hybrid network intrusion detection technique using random forests
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Outgoing claims: the papers this work cites, builds on, or argues with.
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A Geometric Framework for Unsupervised Anomaly Detection
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A Geometric Framework for Unsupervised Anomaly Detection: Detecting Intrusions in Unlabeled Data
What points at this work
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inferred← citeshttps://doi.org/10.3390/s22052018openalex-snapshot
χ2-BidLSTM: A Feature Driven Intrusion Detection System Based on χ2 Statistical Model and Bidirectional LSTM
inferred← citeshttps://doi.org/10.3390/sym18091438openalex-snapshot
A Systematic Multi-Paradigm Evaluation Framework for Network Intrusion Detection in Fog-IoT Environments: Deep Learning, Transformer, and Ensemble Methods Across Deployment Tiers
inferred← citeshttps://doi.org/10.35444/ijana.2019.110210openalex-snapshot
Integrating Intrusion Detection Model Using Ensemble of Classifiers and Extreme Learning Machine
inferred← citeshttps://doi.org/10.35940/ijrte.b1033.0782s519openalex-snapshot
Insider threats and Insider Intrusion Detection
inferred← citeshttps://doi.org/10.36227/techrxiv.19642977openalex-snapshot
A Futuristic Survey on Learning Techniques for Internet of Things (IoT) Security : Developments, Applications, and Challenges
inferred← citeshttps://doi.org/10.36227/techrxiv.19642977.v1openalex-snapshot
A Futuristic Survey on Learning Techniques for Internet of Things (IoT) Security : Developments, Applications, and Challenges
inferred← citeshttps://doi.org/10.37396/jsc.v2i1.20openalex-snapshot
Survei Penerapan Model Machine Learning Dalam Bidang Keamanan Informasi
inferred← citeshttps://doi.org/10.3846/cibmee.2019.084openalex-snapshot
Assessing and managing business risks for artificial intelligence based business process automation
inferred← citeshttps://doi.org/10.4018/978-1-5225-4100-4.ch007openalex-snapshot
Detection of Botnet Based Attacks on Network
inferred← citeshttps://doi.org/10.4018/978-1-7998-5348-0.ch004openalex-snapshot
Detection of Botnet Based Attacks on Network
inferred← citeshttps://doi.org/10.4108/eai.16-4-2022.2318143openalex-snapshot
Survey on Machine learning Techniques used for Information Security
inferred← citeshttps://doi.org/10.4108/eai.25-1-2019.159348openalex-snapshot
Forget the Myth of the Air Gap: Machine Learning for Reliable Intrusion Detection in SCADA Systems
inferred← citeshttps://doi.org/10.4236/ijcns.2008.14039openalex-snapshot
An Active Rule Approach for Network Intrusion Detection with Enhanced C4.5 Algorithm
inferred← citeshttps://doi.org/10.46647/ijetms.2023.v07i04.043openalex-snapshot
Comparative Study of Deep Learning Models for Network Intrusion Detection
inferred← citeshttps://doi.org/10.5120/13334-0928openalex-snapshot
Classification Techniques for Intrusion Detection An Overview
inferred← citeshttps://doi.org/10.5120/16804-6526openalex-snapshot
Evaluation of K-Means Clustering for Effective Intrusion Detection and Prevention in Massive Network Traffic Data
inferred← citeshttps://doi.org/10.5120/ijca2016911407openalex-snapshot
A Novel Combined Method for Network Intrusion Detection Systems Aimed at Detecting Novel Attacks
inferred← citeshttps://doi.org/10.5120/ijca2017915985openalex-snapshot
Reduction of False Alarm Rate by using K-NN and Naive Bayes: A Review
inferred← citeshttps://doi.org/10.5772/14130openalex-snapshot
Hybrid Intrusion Detection Systems (HIDS) using Fuzzy Logic
inferred← citeshttps://doi.org/10.5772/intechopen.78497openalex-snapshot
Computer and Network Security
inferred← citeshttps://doi.org/10.5772/intechopen.92168openalex-snapshot
Introductory Chapter: Machine Learning in Misuse and Anomaly Detection
inferred← citeshttps://doi.org/10.5772/intechopen.92653openalex-snapshot
Machine Learning Applications in Misuse and Anomaly Detection
inferred← citeshttps://doi.org/10.5897/ajbm11.802openalex-snapshot
Information disclosure prediction using a combined rough set theory and random forests approach
inferred← citeshttps://doi.org/10.70675/2b761e81z22a5z4763za871z4ee566cd1c46openalex-snapshot
New statistical methods for data mining, contributions to anomaly detection and unimodality testing
inferred← citeshttps://doi.org/10.70675/349c9461z4388z473bz8a5fz0c32ee6381e2openalex-snapshot
Analyse d'images par méthode de Deep Learning appliquée au contexte routier en conditions météorologiques dégradées
inferred← citeshttps://doi.org/10.70675/6e30d74cz483fz44c5za618z9fd5f8aab5dbopenalex-snapshot
Détection d'attaques sur les équipements d'accès à Internet
inferred← citeshttps://doi.org/10.70675/e8b31988zd1a4z424cza01ezec9263ec16beopenalex-snapshot
Service-Level Monitoring of HTTPS Traffic
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