Communication Network Anomaly Detection Based on Log File Analysis

Rough Sets and Knowledge Technology - Lecture Notes in Computer Science ◽

10.1007/978-3-319-11740-9_23 ◽

2014 ◽

pp. 240-248

Author(s):

Xin Cheng ◽

Ruizhi Wang

Keyword(s):

Communication Network ◽

Anomaly Detection ◽

Log File Analysis ◽

Log File ◽

Network Anomaly Detection

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Entropy-based robust PCA for communication network anomaly detection

2014 IEEE/CIC International Conference on Communications in China (ICCC) ◽

10.1109/iccchina.2014.7008266 ◽

2014 ◽

Author(s):

Duo Liu ◽

Chung-Horng Lung ◽

Nabil Seddigh ◽

Biswajit Nandy

Keyword(s):

Communication Network ◽

Anomaly Detection ◽

Network Anomaly Detection

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Dynamic log file analysis: An unsupervised cluster evolution approach for anomaly detection

Computers & Security ◽

10.1016/j.cose.2018.08.009 ◽

2018 ◽

Vol 79 ◽

pp. 94-116 ◽

Author(s):

Max Landauer ◽

Markus Wurzenberger ◽

Florian Skopik ◽

Giuseppe Settanni ◽

Peter Filzmoser

Keyword(s):

Anomaly Detection ◽

Unsupervised Cluster ◽

Log File Analysis ◽

Cluster Evolution ◽

Log File ◽

Evolution Approach

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Drills, Games or Tests? Evaluating Students' Motivation in Different Online Learning Activities, Using Log File Analysis

Interdisciplinary Journal of e-Skills and Lifelong Learning ◽

10.28945/1522 ◽

2011 ◽

Vol 7 ◽

pp. 235-248 ◽

Author(s):

Galit Ben-Zadok ◽

Moshe Leiba ◽

Rafi Nachmias

Keyword(s):

Online Learning ◽

Learning Activities ◽

Log File Analysis ◽

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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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