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High-Order Markov Kernels for Network Intrusion Detection

2006
In intrusion detection systems, sequences of system calls executed by running programs can be used as evidence to detect anomalies. Markov chain is often adopted as the model in the detection systems, in which high-order Markov chain model is well suited for the detection, but as the order of the chain increases, the number of parameters of the model ...
Shengfeng Tian   +2 more
openaire   +1 more source

Stability and Control of Fuzzy Semi-Markov Jump Systems Under Unknown Semi-Markov Kernel

IEEE Transactions on Fuzzy Systems, 2022
Shun-Feng Su, Zepeng Ning
exaly  

SMC for Discrete Fuzzy Semi-Markov Jump Models With Partly Known Semi-Markov Kernel

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023
Huaicheng Yan, Ju H. Park, Wenhai Qi
exaly  

A Method for Degradation Prediction Based on Hidden Semi-Markov Models With Mixture of Kernels

Computers in Industry, 2020
Zeyu Zheng, Liang Qi, Tianji Yang
exaly  

Resilient Static Output Feedback Control of Linear Semi-Markov Jump Systems With Incomplete Semi-Markov Kernel

IEEE Transactions on Automatic Control, 2021
Huaicheng Yan, Xisheng Zhan, Hao Zhang
exaly  

Generalization Performance of Gaussian Kernels SVMC Based on Markov Sampling

Neural Networks, 2014
Yang Lu, Luoqing Li, Bin Zou
exaly  

A Functional Central Limit Theorem for the Empirical Estimator of a Semi-Markov Kernel

Journal of Nonparametric Statistics, 2004
Nikolaos Limnios
exaly  

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