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An adaptive KPCA approach for detecting LDoS attack
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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.2618openalex-snapshot
Modeling denial‐of‐service against pending interest table in named data networking
inferredcites →https://doi.org/10.1002/dac.2670openalex-snapshot
Recursive‐clustering‐based approach for denial of service (DoS) attacks in wireless sensors networks
inferredcites →https://doi.org/10.1002/dac.2783openalex-snapshot
SEDP‐based detection of low‐rate DoS attacks
inferredcites →https://doi.org/10.1002/dac.2805openalex-snapshot
Flow‐oriented detection of low‐rate denial of service attacks
inferredcites →https://doi.org/10.1016/j.ces.2003.09.012openalex-snapshot
Nonlinear process monitoring using kernel principal component analysis
inferredcites →https://doi.org/10.1016/j.chemolab.2004.05.001openalex-snapshot
Fault detection and identification of nonlinear processes based on kernel PCA
inferredcites →https://doi.org/10.1016/j.jpdc.2006.04.007openalex-snapshot
Collaborative detection and filtering of shrew DDoS attacks using spectral analysis
inferredcites →https://doi.org/10.1109/72.914517openalex-snapshot
An introduction to kernel-based learning algorithms
inferredcites →https://doi.org/10.1109/icccn.2005.1523867openalex-snapshot
On the effect of router buffer sizes on low-rate denial of service attacks
inferredcites →https://doi.org/10.1109/igarss.2010.5649251openalex-snapshot
An automatic method for selecting the parameter of the RBF kernel function to support vector machines
inferredcites →https://doi.org/10.1109/tgrs.2008.2007741openalex-snapshot
Toward the Automatic Updating of Land-Cover Maps by a Domain-Adaptation SVM Classifier and a Circular Validation Strategy
inferredcites →https://doi.org/10.1109/tpwrd.2011.2136441openalex-snapshot
An Adaptive Approach Based on KPCA and SVM for Real-Time Fault Diagnosis of HVCBs
inferredcites →https://doi.org/10.1145/863955.863966openalex-snapshot
Low-rate TCP-targeted denial of service attacks
inferredcites →https://doi.org/10.1162/089976698300017467openalex-snapshot
Nonlinear Component Analysis as a Kernel Eigenvalue Problem
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/dac.3505openalex-snapshot
An adaptive network traffic prediction approach for LDoS attacks detection
inferred← citeshttps://doi.org/10.1007/978-3-031-23020-2_18openalex-snapshot
Leveraging Frame Aggregation in Wi-Fi IoT Networks for Low-Rate DDoS Attack Detection
inferred← citeshttps://doi.org/10.1007/s10489-022-04171-2openalex-snapshot
LDoS attack traffic detection based on feature optimization extraction and DPSA-WGAN
inferred← citeshttps://doi.org/10.1007/s10586-022-03537-yopenalex-snapshot
A novel LDoS attack detection method based on reconstruction anomaly
inferred← citeshttps://doi.org/10.1007/s11036-019-01506-1openalex-snapshot
MF-CNN: a New Approach for LDoS Attack Detection Based on Multi-feature Fusion and CNN
inferred← citeshttps://doi.org/10.1007/s11704-022-0486-1openalex-snapshot
An approach for detecting LDoS attack based on cloud model
inferred← citeshttps://doi.org/10.1016/j.comnet.2019.01.007openalex-snapshot
Introducing the SlowDrop Attack
inferred← citeshttps://doi.org/10.1016/j.ins.2021.02.038openalex-snapshot
The detection of low-rate DoS attacks using the SADBSCAN algorithm
inferred← citeshttps://doi.org/10.1016/j.jisa.2020.102532openalex-snapshot
Voting extreme learning machine based distributed denial of service attack detection in cloud computing
inferred← citeshttps://doi.org/10.1109/access.2022.3191430openalex-snapshot
Detection and Mitigation of Low-Rate Denial-of-Service Attacks: A Survey
inferred← citeshttps://doi.org/10.1109/cscloud/edgecom.2019.00020openalex-snapshot
Low-Rate DoS Attack Detection Using PSD Based Entropy and Machine Learning
inferred← citeshttps://doi.org/10.1109/hpcc/smartcity/dss.2019.00076openalex-snapshot
Low-Rate DoS Attack Detection Based on Improved Logistic Regression
inferred← citeshttps://doi.org/10.1109/icccn49398.2020.9209699openalex-snapshot
An Efficient Detection Approach for LDoS Attack based on NCS-SVM Algorithm
inferred← citeshttps://doi.org/10.1109/ispa-bdcloud-socialcom-sustaincom51426.2020.00074openalex-snapshot
Low-rate DoS Attack Detection Based on WPD-EE Algorithm
inferred← citeshttps://doi.org/10.1109/ispa-bdcloud-socialcom-sustaincom52081.2021.00050openalex-snapshot
BA-BNN: Detect LDoS Attacks in SDN Based on Bat Algorithm and BP Neural Network
inferred← citeshttps://doi.org/10.1109/tcst.2018.2876140openalex-snapshot
A Process Monitoring Scheme for Uneven-Duration Batch Process Based on Sequential Moving Principal Component Analysis
inferred← citeshttps://doi.org/10.1109/tnsm.2022.3222846openalex-snapshot
PeakSAX: Real-Time Monitoring and Mitigation System for LDoS Attack in SDN
inferred← citeshttps://doi.org/10.1155/2017/4890921openalex-snapshot
Anomaly Detection for Aviation Safety Based on an Improved KPCA Algorithm
inferred← citeshttps://doi.org/10.1155/2021/6694264openalex-snapshot
Coherent Detection of Synchronous Low-Rate DoS Attacks
inferred← citeshttps://doi.org/10.1177/0959651816643670openalex-snapshot
Fault detection for turbine engine disk based on an adaptive kernel principal component analysis algorithm
inferred← citeshttps://doi.org/10.1186/s13673-020-0210-9openalex-snapshot
Low-rate DoS attack detection based on two-step cluster analysis and UTR analysis
inferred← citeshttps://doi.org/10.3390/s20010189openalex-snapshot
Low-Rate DoS Attacks Detection Based on MAF-ADM
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