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Network Anomaly Detection for M-Connected SCADA Networks
2013 Eighth International Conference on Broadband and Wireless Computing, Communication and Applications
◽
10.1109/bwcca.2013.61
◽
2013
◽
Cited By ~ 1
Author(s):
Si-Jung Kim
◽
Bong-Han Kim
◽
Sang-Soo Yeo
◽
Do-Eun Cho
Keyword(s):
Anomaly Detection
◽
Scada Networks
◽
Network Anomaly Detection
Download Full-text
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HYBRID DEEP NEURAL NETWORK ANOMALY DETECTION SYSTEM FOR SCADA NETWORKS
Far East Journal of Mathematical Sciences (FJMS)
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10.17654/ms128020141
◽
2021
◽
Vol 128
(2)
◽
pp. 141-191
Author(s):
Raogo Kabore
◽
Hyacinthe Kouassi Konan
◽
Adlès Kouassi
◽
Yvon Kermarrec
◽
Philippe Lenca
◽
...
Keyword(s):
Neural Network
◽
Anomaly Detection
◽
Deep Neural Network
◽
Detection System
◽
Scada Networks
◽
Network Anomaly Detection
◽
Anomaly Detection System
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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
◽
Cited By ~ 1
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
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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
Download Full-text
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