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A novel approach to detection of intrusions in computer networks via adaptive sequential and batch-sequential change-point detection methods

机译：一种通过自适应顺序和批量顺序变化点检测方法检测计算机网络中入侵的新方法

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Er G. Tartakovsky; Senior Member; Boris L. Rozovskii; Rudolf B. Blaˇzek; Hongjoong Kim;
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年度 2006
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1. A Novel Approach to Detection of Intrusions in Computer Networks via Adaptive Sequential and Batch-Sequential Change-Point Detection Methods [J] . Alexander G. Tartakovsky, Boris L. Rozovskii, Rudolf B. Blazek, IEEE Transactions on Signal Processing . 2006,第9期

机译：通过自适应顺序和批处理顺序变化点检测方法检测计算机网络入侵的新方法
2. A discussion on 'Detection of intrusions in information systems by sequential change-point methods' by Tartakovsky, Rozovskii, Blazek, and Kim [J] . Rasul A. Khan Statistical Methodology . 2006,第3期

机译：Tartakovsky，Rozovskii，Blazek和Kim讨论了“通过顺序更改点方法检测信息系统中的入侵”
3. A discussion on 'Detection of intrusions in information systems by sequential change-point methods' by Tartakovsky, Rozovskii, Blazek, and Kim [J] . Yajun Mei Statistical Methodology . 2006,第3期

机译：Tartakovsky，Rozovskii，Blazek和Kim讨论了“通过顺序更改点方法检测信息系统中的入侵”
4. Computer network intrusion detection using sequential LSTM Neural Networks autoencoders [C] . Ali H. Mirza, Selin Cosan Signal Processing and Communications Applications Conference . 2018

机译：使用顺序LSTM神经网络自动编码器进行计算机网络入侵检测
5. Sequential detection with applications to detection of network intrusions. [D] . Vedantam, Satish. 2003

机译：顺序检测及其在检测网络入侵方面的应用。
6. Sequential Model Based Intrusion Detection System for IoT Servers Using Deep Learning Methods [O] . Ming Zhong, Yajin Zhou, Gang Chen 2021

机译：基于SEAT学习方法的IOT服务器的顺序模型入侵检测系统
7. A Sequential Detection Method for Intrusion Detection System Based on Artificial Neural Networks [O] . Zhao Hao, Yaokai Feng, Hiroshi Koide, 2020

机译：一种基于人工神经网络的入侵检测系统顺序检测方法
8. Performance Analysis of Hierarchical Group Key Management Integrated with Adaptive Intrusion Detection in Mobile ad hoc Networks. [R] . Cho, J., Chen, I. 2016

机译：移动ad hoc网络中集成自适应入侵检测的分层组密钥管理性能分析。

A novel approach to detection of intrusions in computer networks via adaptive sequential and batch-sequential change-point detection methods

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