NADS-RA: Network Anomaly Detection Scheme Based on Feature Representation and Data Augmentation

IEEE Access ◽

10.1109/access.2020.3040510 ◽

2020 ◽

Vol 8 ◽

pp. 214781-214800

Author(s):

Xu Liu ◽

Xiaoqiang Di ◽

Qiang Ding ◽

Weiyou Liu ◽

Hui Qi ◽

...

Keyword(s):

Anomaly Detection ◽

Data Augmentation ◽

Feature Representation ◽

Detection Scheme ◽

Network Anomaly Detection

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LogNADS: Network anomaly detection scheme based on semantic representation

Future Generation Computer Systems ◽

10.1016/j.future.2021.05.024 ◽

2021 ◽

Author(s):

Xu Liu ◽

Weiyou Liu ◽

Xiaoqiang Di ◽

Jinqing Li ◽

Binbin Cai ◽

...

Keyword(s):

Anomaly Detection ◽

Semantic Representation ◽

Detection Scheme ◽

Network Anomaly Detection

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A Lightweight Online Network Anomaly Detection Scheme Based on Data Mining Methods

2007 IEEE International Conference on Network Protocols ◽

10.1109/icnp.2007.4375871 ◽

2007 ◽

Author(s):

Yang Li ◽

Bin-Xing Fang

Keyword(s):

Data Mining ◽

Anomaly Detection ◽

Detection Scheme ◽

Mining Methods ◽

Network Anomaly Detection

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Optimizing Network Anomaly Detection Scheme Using Instance Selection Mechanism

GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference ◽

10.1109/glocom.2009.5425547 ◽

2009 ◽

Author(s):

Yang Li ◽

Tian-Bo Lu ◽

Li Guo ◽

Zhi-Hong Tian ◽

Lin Qi

Keyword(s):

Anomaly Detection ◽

Instance Selection ◽

Selection Mechanism ◽

Detection Scheme ◽

Network Anomaly Detection

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A Learning-based Data Augmentation for Network Anomaly Detection

2020 29th International Conference on Computer Communications and Networks (ICCCN) ◽

10.1109/icccn49398.2020.9209598 ◽

2020 ◽

Author(s):

Mohammad Al Olaimat ◽

Dongeun Lee ◽

Youngsoo Kim ◽

Jonghyun Kim ◽

Jinoh Kim

Keyword(s):

Anomaly Detection ◽

Data Augmentation ◽

Network Anomaly Detection

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An Efficient Network Anomaly Detection Scheme Based on TCM-KNN Algorithm and Data Reduction Mechanism

2007 IEEE SMC Information Assurance and Security Workshop ◽

10.1109/iaw.2007.381936 ◽

2007 ◽

Author(s):

Yang Li ◽

Li Guo

Keyword(s):

Anomaly Detection ◽

Data Reduction ◽

Reduction Mechanism ◽

Detection Scheme ◽

Network Anomaly Detection

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Network Anomaly Detection Scheme Based on Running States of Industrial Control System

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.134.1492 ◽

2014 ◽

Vol 134 (10) ◽

pp. 1492-1497

Author(s):

Shoji Yunoki ◽

Yoshinori Ohkura

Keyword(s):

Control System ◽

Anomaly Detection ◽

Industrial Control System ◽

Industrial Control ◽

Detection Scheme ◽

Network Anomaly Detection

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NADSR: A Network Anomaly Detection Scheme Based on Representation

Knowledge Science, Engineering and Management - Lecture Notes in Computer Science ◽

10.1007/978-3-030-55130-8_33 ◽

2020 ◽

pp. 380-387 ◽

Author(s):

Xu Liu ◽

Xiaoqiang Di ◽

Weiyou Liu ◽

Xingxu Zhang ◽

Hui Qi ◽

...

Keyword(s):

Anomaly Detection ◽

Detection Scheme ◽

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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An Anomaly Detection Scheme based on LSTM Autoencoder for Energy Management

2020 International Conference on Information and Communication Technology Convergence (ICTC) ◽

10.1109/ictc49870.2020.9289226 ◽

2020 ◽

Author(s):

Hong-Soon Nam ◽

Youn-Kwae Jeong ◽

Jong Won Park

Keyword(s):

Anomaly Detection ◽

Energy Management ◽

Detection Scheme

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