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Improving PCA‐based anomaly detection by using multiple time scale analysis and Kullback–Leibler divergence

https://doi.org/10.1002/dac.2432
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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/dac.1289openalex-snapshot
Effective allied network security system based on designed scheme with conditional legitimate probability against distributed network attacks and intrusions
inferredcites →https://doi.org/10.1002/dac.853openalex-snapshot
Integration of mobility and intrusion detection for wirelessad hocnetworks
inferredcites →https://doi.org/10.1002/dac.895openalex-snapshot
Intrusion detection and tolerance: A global scheme
inferredcites →https://doi.org/10.1002/sec.69openalex-snapshot
Improving network anomaly detection effectiveness via an integrated multi‐metric‐multi‐link (M3L) PCA‐based approach
inferredcites →https://doi.org/10.1007/978-3-540-28648-6_105openalex-snapshot
A Novel Intrusion Detection Method Based on Principle Component Analysis in Computer Security
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/j.jalgor.2003.12.001openalex-snapshot
An improved data stream summary: the count-min sketch and its applications
inferredcites →https://doi.org/10.1016/s1389-1286(00)00139-0openalex-snapshot
The 1999 DARPA off-line intrusion detection evaluation
inferredcites →https://doi.org/10.1145/1005686.1005697openalex-snapshot
Structural analysis of network traffic flows
inferredcites →https://doi.org/10.1145/1012888.1005697openalex-snapshot
Structural analysis of network traffic flows
inferredcites →https://doi.org/10.1145/1015467.1015492openalex-snapshot
Diagnosing network-wide traffic anomalies
inferredcites →https://doi.org/10.1145/1028788.1028813openalex-snapshot
Characterization of network-wide anomalies in traffic flows
inferredcites →https://doi.org/10.1145/1030194.1015492openalex-snapshot
Diagnosing network-wide traffic anomalies
inferredcites →https://doi.org/10.1145/1080091.1080118openalex-snapshot
Mining anomalies using traffic feature distributions
inferredcites →https://doi.org/10.1145/1177080.1177099openalex-snapshot
Detection and identification of network anomalies using sketch subspaces
inferredcites →https://doi.org/10.1145/1254882.1254895openalex-snapshot
Sensitivity of PCA for traffic anomaly detection
inferredcites →https://doi.org/10.1145/1269899.1254895openalex-snapshot
Sensitivity of PCA for traffic anomaly detection
inferredcites →https://doi.org/10.17487/rfc3954openalex-snapshot
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What points at this work

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

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Traffic matrix estimation: Advanced‐Tomogravity method based on a precise gravity model
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DNS tunneling detection through statistical fingerprints of protocol messages and machine learning
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An empirical study on TCP flow interarrival time distribution for normal and anomalous traffic
inferred← citeshttps://doi.org/10.1002/dac.3002openalex-snapshot
An incremental intrusion detection system using a new semi‐supervised stream classification method
inferred← citeshttps://doi.org/10.1007/978-3-319-25645-0_32openalex-snapshot
Enforcing Privacy in Distributed Multi-Domain Network Anomaly Detection
inferred← citeshttps://doi.org/10.1007/978-981-15-1301-5_40openalex-snapshot
Network Intrusion Detection Based on Hidden Markov Model and Conditional Entropy
inferred← citeshttps://doi.org/10.1007/s11042-017-5352-zopenalex-snapshot
RETRACTED ARTICLE: Soft multimedia anomaly detection based on neural network and optimization driven support vector machine
inferred← citeshttps://doi.org/10.1016/j.chemolab.2020.104038openalex-snapshot
Cross-product penalized component analysis (X-CAN)
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An information-theoretic method for the detection of anomalies in network traffic
inferred← citeshttps://doi.org/10.1016/j.cose.2019.101603openalex-snapshot
Multivariate Big Data Analysis for intrusion detection: 5 steps from the haystack to the needle
inferred← citeshttps://doi.org/10.1016/j.isatra.2020.11.016openalex-snapshot
A novel density estimation based intrusion detection technique with Pearson’s divergence for Wireless Sensor Networks
inferred← citeshttps://doi.org/10.1016/j.patrec.2016.11.016openalex-snapshot
Ramp Loss based robust one-class SVM
inferred← citeshttps://doi.org/10.1016/j.xphs.2017.01.030openalex-snapshot
Microflow Imaging Analyses Reflect Mechanisms of Aggregate Formation: Comparing Protein Particle Data Sets Using the Kullback–Leibler Divergence
inferred← citeshttps://doi.org/10.1093/jigpal/jzw056openalex-snapshot
Profiling DNS tunneling attacks with PCA and mutual information
inferred← citeshttps://doi.org/10.1109/camad.2014.7033256openalex-snapshot
Neural network based anomaly detection
inferred← citeshttps://doi.org/10.1109/cnsm.2015.7367366openalex-snapshot
A fast algorithm for detecting anomalous changes in network traffic
inferred← citeshttps://doi.org/10.1109/icufn.2016.7536939openalex-snapshot
Feature transformation and Mutual Information for DNS tunneling analysis
inferred← citeshttps://doi.org/10.1109/issre.2015.7381794openalex-snapshot
Anomaly detection in computer systems using compressed measurements
inferred← citeshttps://doi.org/10.1109/percom.2018.8444581openalex-snapshot
A Platform Solution of Data-Quality Improvement for Internet-of-Vehicle Services
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Traffic Monitoring and Diagnosis with Multivariate Statistical Network Monitoring: A Case Study
inferred← citeshttps://doi.org/10.1109/tifs.2019.2894358openalex-snapshot
Semi-Supervised Multivariate Statistical Network Monitoring for Learning Security Threats
inferred← citeshttps://doi.org/10.1109/ucc.2015.31openalex-snapshot
Efficient Online Performance Monitoring of Computing Systems Using Predictive Models
inferred← citeshttps://doi.org/10.1109/wincom.2017.8238162openalex-snapshot
An effective cyber attack detection system based on an improved OMPCA
inferred← citeshttps://doi.org/10.1177/1550147720921309openalex-snapshot
Multivariate Statistical Network Monitoring–Sensor: An effective tool for real-time monitoring and anomaly detection in complex networks and systems
inferred← citeshttps://doi.org/10.1186/s40537-021-00447-5openalex-snapshot
A reconstruction error-based framework for label noise detection
inferred← citeshttps://doi.org/10.1504/ijcse.2015.10006160openalex-snapshot
Improving stability of PCA-based network anomaly detection by means of Kernel-PCA
inferred← citeshttps://doi.org/10.15587/1729-4061.2016.85600openalex-snapshot
Development of adaptive expert system of information security using a procedure of clustering the attributes of anomalies and cyber attacks
inferred← citeshttps://doi.org/10.15587/1729-4061.2017.102225openalex-snapshot
Development of a system for the detection of cyber attacks based on the clustering and formation of reference deviations of attributes
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Adaptive sampling and statistical inference for anomaly detection
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Leak detection in compressed air systems using unsupervised anomaly detection techniques
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