Kernel Density Estimation for An Anomaly Based Intrusion Detection System
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Summary
A group of kernel density estimators is constructed and the criterions for bandwidth selection are discussed and statistical parameters of these distributions are computed, which can be used directly in ABIDS modeling.
- Type
- article
- Published
- 2006-01-01
- Cited by
- 34
- References
- 15
- OpenAlex
- https://openalex.org/W71895890
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:16459383
Keywords
Kernel density estimation, Anomaly detection, Computer science, Kernel (algebra), Anomaly (physics)
References
- Applied smoothing techniques for data analysis : the kernel approach with S-plus illustrations
- Continuous non-negative wavelets and their use in density estimation
- The Estimation of Probability Densities and Cumulatives by Fourier Series Methods
- Density estimation by wavelet thresholding
- Nonparametric Estimation of Probability Densities and Regression Curves
- A bandwidth selection for kernel density estimation of functions of random variables
- A Course in Density Estimation
- Data based bandwidth selection in kernel density estimation with parametric start via kernel contrasts
- Time-based Approach to Intrusion Detection using Multiple Self-Organizing Maps
- Background and foreground modeling using nonparametric kernel density estimation for visual surveillance
- Multivariate Density Estimation, Theory, Practice and Visualization
- Density Estimation for Statistics and Data Analysis
- Kernel Smoothing
- Multivariate Density Estimation, Theory, Practice, and Visualbation
- Density Estimation for Statistics and Data Analysis
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- Node and edge selectivity estimation for range queries in spatial networks
- A novel nonlinear process monitoring approach: Locally weighted learning based total PLS
- Binary Classifier for Fault Detection Based on KDE and PCA
- A channel-aware expected energy consumption minimization strategy in wireless networks
- Intrusion detection system for detecting wireless attacks in IEEE 802.11 networks
- A holistic review of Network Anomaly Detection Systems: A comprehensive survey
- Data Processing Method of Multibeam Bathymetry Based on Sparse Weighted LS-SVM Machine Algorithm
- Manifold regularized stacked autoencoders-based feature learning for fault detection in industrial processes
- Data-Driven Incipient Fault Detection via Canonical Variate Dissimilarity and Mixed Kernel Principal Component Analysis
- Convolutional Long Short-Term Memory Autoencoder-Based Feature Learning for Fault Detection in Industrial Processes
- Energy efficiency maximization strategy for Sink node in SWIPT-enabled sensor-cloud based on optimal stopping rules
- Residual attention convolutional autoencoder for feature learning and fault detection in nonlinear industrial processes
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- One-dimensional residual convolutional auto-encoder for fault detection in complex industrial processes
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