An uncertainty-managing batch relevance-based approach to network anomaly detection

Applied Soft Computing ◽

10.1016/j.asoc.2015.07.029 ◽

2015 ◽

Vol 36 ◽

pp. 408-418 ◽

Author(s):

Gianni D’angelo ◽

Francesco Palmieri ◽

Massimo Ficco ◽

Salvatore Rampone

Keyword(s):

Anomaly Detection ◽

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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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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An Accuracy Network Anomaly Detection Method Based on Ensemble Model

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp39728.2021.9414675 ◽

2021 ◽

Author(s):

Fengrui Liu ◽

Xuefei Li ◽

Wei Xiong ◽

Haiyang Jiang ◽

Gaogang Xie

Keyword(s):

Anomaly Detection ◽

Detection Method ◽

Ensemble Model ◽

Network Anomaly Detection

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Network Anomaly Detection using Memory-augmented Deep Autoencoder

IEEE Access ◽

10.1109/access.2021.3100087 ◽

2021 ◽

pp. 1-1

Author(s):

Byeongjun Min ◽

JiHoon Yoo ◽

Sangsoo Kim ◽

Dongil Shin ◽

Dongkyoo Shin

Keyword(s):

Anomaly Detection ◽

Network Anomaly Detection

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Voting-Based Ensemble Model for Network Anomaly Detection

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp39728.2021.9414532 ◽

2021 ◽

Author(s):

Tzu-Hsin Yang ◽

Yu-Tai Lin ◽

Chao-Lun Wu ◽

Chih-Yu Wang

Keyword(s):

Anomaly Detection ◽

Ensemble Model ◽

Network Anomaly Detection

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A Novel Method for Network Anomaly Detection Using Superstatistics

2008 International Conference on Complex, Intelligent and Software Intensive Systems ◽

10.1109/cisis.2008.24 ◽

2008 ◽

Author(s):

Dong Chen ◽

Hanping Hu ◽

Zuxi Wang ◽

Jianghang Chen

Keyword(s):

Anomaly Detection ◽

Novel Method ◽

Network Anomaly Detection

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