SLRTA: A sparse and low-rank tensor-based approach to internet traffic anomaly detection

Neurocomputing ◽

10.1016/j.neucom.2020.12.123 ◽

2021 ◽

Vol 434 ◽

pp. 295-314

Author(s):

Xiaotong Yu ◽

Ziyan Luo ◽

Liqun Qi ◽

Yanwei Xu

Keyword(s):

Anomaly Detection ◽

Internet Traffic ◽

Low Rank ◽

Rank Tensor ◽

Traffic Anomaly ◽

Traffic Anomaly Detection

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Robust feature selection and robust PCA for internet traffic anomaly detection

2012 Proceedings IEEE INFOCOM ◽

10.1109/infcom.2012.6195548 ◽

2012 ◽

Author(s):

Claudia Pascoal ◽

M. Rosario de Oliveira ◽

Rui Valadas ◽

Peter Filzmoser ◽

Paulo Salvador ◽

...

Keyword(s):

Feature Selection ◽

Anomaly Detection ◽

Internet Traffic ◽

Traffic Anomaly ◽

Traffic Anomaly Detection

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Entropy-Based Internet Traffic Anomaly Detection: A Case Study

Proceedings of the Ninth International Conference on Dependability and Complex Systems DepCoS-RELCOMEX. June 30 – July 4, 2014, Brunów, Poland - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-319-07013-1_5 ◽

2014 ◽

pp. 47-58 ◽

Author(s):

Przemysław Bereziński ◽

Józef Pawelec ◽

Marek Małowidzki ◽

Rafał Piotrowski

Keyword(s):

Anomaly Detection ◽

Internet Traffic ◽

Traffic Anomaly ◽

Traffic Anomaly Detection

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An image processing approach to traffic anomaly detection

Proceedings of the 4th Asian Conference on Internet Engineering - AINTEC '08 ◽

10.1145/1503370.1503377 ◽

2008 ◽

Author(s):

Romain Fontugne ◽

Toshio Hirotsu ◽

Kensuke Fukuda

Keyword(s):

Image Processing ◽

Anomaly Detection ◽

Processing Approach ◽

Traffic Anomaly ◽

Traffic Anomaly Detection

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Semi-supervised and Unsupervised Machine Learning Methods for Sea Traffic Anomaly Detection

10.15388/vu.thesis.179 ◽

2021 ◽

Author(s):

◽

Julius Venskus

Keyword(s):

Machine Learning ◽

Anomaly Detection ◽

Learning Methods ◽

Unsupervised Machine Learning ◽

Machine Learning Methods ◽

Traffic Anomaly ◽

Traffic Anomaly Detection

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Smart grid communication network traffic anomaly detection based on entropy analysis

2016 2nd IEEE International Conference on Computer and Communications (ICCC) ◽

10.1109/compcomm.2016.7924871 ◽

2016 ◽

Author(s):

Xuesong Huo ◽

Chao Lv ◽

Pei Pei ◽

Minghui Gao ◽

Liming Wang

Keyword(s):

Communication Network ◽

Anomaly Detection ◽

Network Traffic ◽

Entropy Analysis ◽

Smart Grid Communication ◽

Traffic Anomaly ◽

Traffic Anomaly Detection

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Spatiotemporal Traffic Anomaly Detection on Urban Road Network Using Tensor Decomposition Method

Discovery Science - Lecture Notes in Computer Science ◽

10.1007/978-3-030-61527-7_44 ◽

2020 ◽

pp. 674-688

Author(s):

Leo Tišljarić ◽

Sofia Fernandes ◽

Tonči Carić ◽

João Gama

Keyword(s):

Anomaly Detection ◽

Decomposition Method ◽

Road Network ◽

Tensor Decomposition ◽

Urban Road Network ◽

Traffic Anomaly ◽

Traffic Anomaly Detection

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Network Traffic Anomaly-Detection Framework Using GPUs

10.31979/etd.dnwu-953q ◽

2017 ◽

Author(s):

Meera Ramesh

Keyword(s):

Anomaly Detection ◽

Network Traffic ◽

Traffic Anomaly ◽

Traffic Anomaly Detection

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Entropy Change Rate for Traffic Anomaly Detection

10.1109/mass52906.2021.00079 ◽

2021 ◽

Author(s):

Xiaowei Li ◽

Changda Wang ◽

An Tang

Keyword(s):

Anomaly Detection ◽

Entropy Change ◽

Change Rate ◽

Traffic Anomaly ◽

Traffic Anomaly Detection

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Network Traffic Anomaly Detection Based on Optimized Transfer Learning

Advances in Intelligent Systems and Computing - The 10th International Conference on Computer Engineering and Networks ◽

10.1007/978-981-15-8462-6_82 ◽

2020 ◽

pp. 715-722

Author(s):

Yonghua Huo ◽

Libin Jiao ◽

Ping Xie ◽

Zhiming Fu ◽

Zhuo Tao ◽

...

Keyword(s):

Anomaly Detection ◽

Transfer Learning ◽

Network Traffic ◽

Traffic Anomaly ◽

Traffic Anomaly Detection

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Constraint-Based Parallel Clustering with Optimized Feature Selection for SDN-Enabled Traffic Anomaly Detection and Mitigation

Artificial Intelligence and Technologies - Lecture Notes in Electrical Engineering ◽

10.1007/978-981-16-6448-9_15 ◽

2021 ◽

pp. 135-144

Author(s):

T. Vadivu ◽

B. Sumathi

Keyword(s):

Feature Selection ◽

Anomaly Detection ◽

Selection For ◽

Traffic Anomaly ◽

Parallel Clustering ◽

Traffic Anomaly Detection

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