A Comparative Study of Statistical Models with Long and Short-Memory Dependence for Network Anomaly Detection

Image Processing and Communications Challenges 7 - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-319-23814-2_29 ◽

2015 ◽

pp. 255-265 ◽

Author(s):

Tomasz Andrysiak ◽

Łukasz Saganowski ◽

Adam Marchewka

Keyword(s):

Anomaly Detection ◽

Comparative Study ◽

Statistical Models ◽

Short Memory ◽

Network Anomaly Detection

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Network Anomaly Detection Based on Statistical Models with Long-Memory Dependence

Advances in Intelligent Systems and Computing - Theory and Engineering of Complex Systems and Dependability ◽

10.1007/978-3-319-19216-1_1 ◽

2015 ◽

pp. 1-10 ◽

Author(s):

Tomasz Andrysiak ◽

Łukasz Saganowski

Keyword(s):

Anomaly Detection ◽

Long Memory ◽

Statistical Models ◽

Network Anomaly Detection

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Proposal and comparison of network anomaly detection based on long-memory statistical models

Logic Journal of IGPL ◽

10.1093/jigpal/jzw051 ◽

2016 ◽

Vol 24 (6) ◽

pp. 944-956 ◽

Author(s):

Tomasz Andrysiak ◽

Łukasz Saganowski ◽

Michał Choraś ◽

Rafał Kozik

Keyword(s):

Anomaly Detection ◽

Long Memory ◽

Statistical Models ◽

Network Anomaly Detection

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Automatically Created Statistical Models Applied to Network Anomaly Detection

Theory and Applications of Dependable Computer Systems - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-030-48256-5_33 ◽

2020 ◽

pp. 334-343

Author(s):

Michał Kierul ◽

Tomasz Kierul ◽

Tomasz Andrysiak ◽

Łukasz Saganowski

Keyword(s):

Anomaly Detection ◽

Statistical Models ◽

Network Anomaly Detection

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Improved negative selection algorithm for network anomaly detection on high-dimensional data

Journal of Computer Applications ◽

10.3724/sp.j.1087.2009.00805 ◽

2009 ◽

Vol 29 (3) ◽

pp. 805-807 ◽

Author(s):

Wen-zhong GUO ◽

Guo-long CHEN ◽

Qing-liang CHEN

Keyword(s):

Anomaly Detection ◽

Negative Selection ◽

High Dimensional Data ◽

High Dimensional ◽

Selection Algorithm ◽

Negative Selection Algorithm ◽

Network Anomaly Detection

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Network anomaly detection based on selective ensemble algorithm

The Journal of Supercomputing ◽

10.1007/s11227-020-03374-z ◽

2020 ◽

Author(s):

Hongle Du ◽

Yan Zhang

Keyword(s):

Anomaly Detection ◽

Selective Ensemble ◽

Ensemble Algorithm ◽

Network Anomaly Detection

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Network Anomaly Detection using Threshold-based Sparse

Proceedings of the 11th International Conference on Advances in Information Technology ◽

10.1145/3406601.3406626 ◽

2020 ◽

Author(s):

May Thet Tun ◽

Dim En Nyaung ◽

Myat Pwint Phyu

Keyword(s):

Anomaly Detection ◽

Network Anomaly Detection

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Time-series Network Anomaly Detection Based on Behaviour Characteristics

2020 IEEE 6th International Conference on Computer and Communications (ICCC) ◽

10.1109/iccc51575.2020.9345249 ◽

2020 ◽

Author(s):

Xiaoyue Yu ◽

Tao Li ◽

Aiqun Hu

Keyword(s):

Time Series ◽

Anomaly Detection ◽

Network Anomaly Detection

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Few-shot Network Anomaly Detection via Cross-network Meta-learning

Proceedings of the Web Conference 2021 ◽

10.1145/3442381.3449922 ◽

2021 ◽

Author(s):

Kaize Ding ◽

Qinghai Zhou ◽

Hanghang Tong ◽

Huan Liu

Keyword(s):

Anomaly Detection ◽

Meta Learning ◽

Network Anomaly Detection

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A comparative study of the bivariate, multivariate and machine-learning-based statistical models for landslide susceptibility mapping in a seismic-prone region in China

Arabian Journal of Geosciences ◽

10.1007/s12517-021-06630-5 ◽

2021 ◽

Vol 14 (6) ◽

Author(s):

Suhua Zhou ◽

Yunqiang Zhang ◽

Xin Tan ◽

Syed Muntazir Abbas

Keyword(s):

Machine Learning ◽

Comparative Study ◽

Statistical Models ◽

Landslide Susceptibility ◽

Susceptibility Mapping ◽

Landslide Susceptibility Mapping

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Network Anomaly Detection Based on In-band Network Telemetry with RNN

2020 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia) ◽

10.1109/icce-asia49877.2020.9276768 ◽

2020 ◽

Author(s):

Sukhyun Nam ◽

Jiyoon Lim ◽

Jae-Hyoung Yoo ◽

James Won-Ki Hong

Keyword(s):

Anomaly Detection ◽

Network Anomaly Detection

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