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Improving intrusion detection for imbalanced network traffic

https://doi.org/10.1002/sec.564
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What this work says

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

inferredcites →https://doi.org/10.1007/11601494_11openalex-snapshot
Statistical Wormhole Detection in Sensor Networks
inferredcites →https://doi.org/10.1007/3-540-45164-1_15openalex-snapshot
A Multiple Model Cost-Sensitive Approach for Intrusion Detection
inferredcites →https://doi.org/10.1007/3-540-62858-4_79openalex-snapshot
Learning when negative examples abound
inferredcites →https://doi.org/10.1007/978-3-540-30143-1_11openalex-snapshot
Anomalous Payload-Based Network Intrusion Detection
inferredcites →https://doi.org/10.1007/978-3-540-45248-5_13openalex-snapshot
An Analysis of the 1999 DARPA/Lincoln Laboratory Evaluation Data for Network Anomaly Detection
inferredcites →https://doi.org/10.1016/b978-1-55860-377-6.50023-2openalex-snapshot
Fast Effective Rule Induction
inferredcites →https://doi.org/10.1016/j.patcog.2006.12.010openalex-snapshot
Network intrusion detection in covariance feature space
inferredcites →https://doi.org/10.1109/52.877859openalex-snapshot
Defending Yourself: The Role of Intrusion Detection Systems
inferredcites →https://doi.org/10.1109/icc.2004.1312847openalex-snapshot
A covariance analysis model for DDoS attack detection
inferredcites →https://doi.org/10.1109/icdm.2002.1184018openalex-snapshot
On evaluating performance of classifiers for rare classes
inferredcites →https://doi.org/10.1109/percomw.2006.119openalex-snapshot
Resilient Aggregation with Attack Detection in Sensor Networks
inferredcites →https://doi.org/10.1109/secpri.1999.766909openalex-snapshot
A data mining framework for building intrusion detection models
inferredcites →https://doi.org/10.1109/tsp.2003.814797openalex-snapshot
Anomaly detection in IP networks
inferredcites →https://doi.org/10.1117/12.777341openalex-snapshot
Usefulness of DARPA dataset for intrusion detection system evaluation
inferredcites →https://doi.org/10.1137/1.9781611972719.29openalex-snapshot
PNrule: A New Framework for Learning Classifier Models in Data Mining (A Case-Study in Network Intrusion Detection)
inferredcites →https://doi.org/10.1145/1089827.1089836openalex-snapshot
Does cost-sensitive learning beat sampling for classifying rare classes?
inferredcites →https://doi.org/10.1145/174194.174199openalex-snapshot
Packets found on an internet
inferredcites →https://doi.org/10.1145/288090.288122openalex-snapshot
Temporal sequence learning and data reduction for anomaly detection
inferredcites →https://doi.org/10.1145/306549.306571openalex-snapshot
Testing and evaluating computer intrusion detection systems
inferredcites →https://doi.org/10.1145/319709.319710openalex-snapshot
The base-rate fallacy and its implications for the difficulty of intrusion detection
inferredcites →https://doi.org/10.1145/322510.322526openalex-snapshot
Temporal sequence learning and data reduction for anomaly detection
inferredcites →https://doi.org/10.1145/375663.375673openalex-snapshot
Mining needle in a haystack
inferredcites →https://doi.org/10.1145/382912.382923openalex-snapshot
Testing Intrusion detection systems
inferredcites →https://doi.org/10.1145/775047.775102openalex-snapshot
Learning nonstationary models of normal network traffic for detecting novel attacks
inferredcites →https://doi.org/10.1145/846183.846199openalex-snapshot
Results of the KDD'99 classifier learning
inferredcites →https://doi.org/10.1201/1079/43255.27.9.20000301/30321.7openalex-snapshot
Information Warfare And Security
inferredcites →https://doi.org/10.1613/jair.953openalex-snapshot
SMOTE: Synthetic Minority Over-sampling Technique
inferredcites →https://doi.org/10.2307/2530946openalex-snapshot
Classification and Regression Trees.
inferredcites →https://doi.org/10.3233/jcs-2002-101-202openalex-snapshot
Toward cost-sensitive modeling for intrusion detection and response

What points at this work

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

inferred← citeshttps://doi.org/10.1002/sec.1516openalex-snapshot
Traffic classification for managing Applications’ networking profiles
inferred← citeshttps://doi.org/10.1007/978-3-030-98795-4_11openalex-snapshot
Open-World Network Intrusion Detection
inferred← citeshttps://doi.org/10.1007/978-981-13-1810-8_26openalex-snapshot
PDD Algorithm for Balancing Medical Data
inferred← citeshttps://doi.org/10.1007/978-981-15-8767-2_2openalex-snapshot
ABC-BSRF: Artificial Bee Colony and Borderline-SMOTE RF Algorithm for Intrusion Detection System on Data Imbalanced Problem
inferred← citeshttps://doi.org/10.1007/s00500-020-05023-2openalex-snapshot
A design of information granule-based under-sampling method in imbalanced data classification
inferred← citeshttps://doi.org/10.1007/s10980-019-00916-6openalex-snapshot
Overselling overall map accuracy misinforms about research reliability
inferred← citeshttps://doi.org/10.1007/s11276-025-04008-zopenalex-snapshot
2SCNNet: spinal siamese convolutional neural network for intrusion detection in imbalanced network traffic
inferred← citeshttps://doi.org/10.1007/s13042-017-0720-6openalex-snapshot
KNN-based maximum margin and minimum volume hyper-sphere machine for imbalanced data classification
inferred← citeshttps://doi.org/10.1007/s13042-019-00953-2openalex-snapshot
A Gaussian mixture model based combined resampling algorithm for classification of imbalanced credit data sets
inferred← citeshttps://doi.org/10.1016/j.asoc.2019.105601openalex-snapshot
Performance enhanced Boosted SVM for Imbalanced datasets
inferred← citeshttps://doi.org/10.1016/j.cose.2025.104541openalex-snapshot
Optimized intrusion predictions through feature selection methods
inferred← citeshttps://doi.org/10.1016/j.knosys.2014.12.007openalex-snapshot
Support vector machine-based optimized decision threshold adjustment strategy for classifying imbalanced data
inferred← citeshttps://doi.org/10.1016/j.knosys.2015.10.012openalex-snapshot
ODOC-ELM: Optimal decision outputs compensation-based extreme learning machine for classifying imbalanced data
inferred← citeshttps://doi.org/10.1016/j.neucom.2014.06.021openalex-snapshot
A resampling ensemble algorithm for classification of imbalance problems
inferred← citeshttps://doi.org/10.1109/access.2020.2987364openalex-snapshot
Using Cost-Sensitive Learning and Feature Selection Algorithms to Improve the Performance of Imbalanced Classification
inferred← citeshttps://doi.org/10.1109/access.2020.3040510openalex-snapshot
NADS-RA: Network Anomaly Detection Scheme Based on Feature Representation and Data Augmentation
inferred← citeshttps://doi.org/10.1109/compcomm.2017.8322749openalex-snapshot
A novel region adaptive SMOTE algorithm for intrusion detection on imbalanced problem
inferred← citeshttps://doi.org/10.1109/dasc-picom-datacom-cyberscitec.2016.48openalex-snapshot
Intrusion Detection Based on IDBM
inferred← citeshttps://doi.org/10.1109/icict68280.2026.11510962openalex-snapshot
Detecting Unbalanced Network Traffic Intrusions using Intelligent Learning
inferred← citeshttps://doi.org/10.1109/icsgea.2019.00102openalex-snapshot
Clustering-Based Prototype Generation for Imbalance Classification
inferred← citeshttps://doi.org/10.1109/isense63713.2024.10872230openalex-snapshot
Enhanced Intrusion Detection Through Optimized Feature Selection in Deep Neural Networks
inferred← citeshttps://doi.org/10.1109/raics.2015.7488411openalex-snapshot
Ranking of machine learning algorithms based on the performance in classifying DDoS attacks
inferred← citeshttps://doi.org/10.1109/sapience.2016.7684121openalex-snapshot
Performance evaluation of classifiers for spam detection with benchmark datasets
inferred← citeshttps://doi.org/10.1109/siprocess.2019.8868559openalex-snapshot
Overview of one-Class Classification
inferred← citeshttps://doi.org/10.1109/worlds450073.2020.9210329openalex-snapshot
Performance Evaluation of Anomaly Detection in Imbalanced System Log Data
inferred← citeshttps://doi.org/10.1145/3343440openalex-snapshot
A Systematic Review on Imbalanced Data Challenges in Machine Learning
inferred← citeshttps://doi.org/10.1155/2021/7126913openalex-snapshot
A Few‐Shot Learning‐Based Siamese Capsule Network for Intrusion Detection with Imbalanced Training Data
inferred← citeshttps://doi.org/10.25046/aj020316openalex-snapshot
Medical imbalanced data classification
inferred← citeshttps://doi.org/10.28925/2663-4023.2020.7.1730openalex-snapshot
THE LOAD BALANCING OF SELF-SIMILAR TRAFFIC IN NETWORK INTRUSION DETECTION SYSTEMS
inferred← citeshttps://doi.org/10.37394/23205.2020.19.22openalex-snapshot
Data Level Approach for Multiclass Imbalance Financial Data
inferred← citeshttps://doi.org/10.3837/tiis.2018.10.027openalex-snapshot
Using weighted Support Vector Machine to address the imbalanced classes problem of Intrusion Detection System
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