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Network Anomaly Detection Based on Statistical Models with Long-Memory Dependence
Advances in Intelligent Systems and Computing - Theory and Engineering of Complex Systems and Dependability
◽
10.1007/978-3-319-19216-1_1
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2015
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pp. 1-10
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Cited By ~ 1
Author(s):
Tomasz Andrysiak
◽
Łukasz Saganowski
Keyword(s):
Anomaly Detection
◽
Long Memory
◽
Statistical Models
◽
Network Anomaly Detection
Download Full-text
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References
Proposal and comparison of network anomaly detection based on long-memory statistical models
Logic Journal of IGPL
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10.1093/jigpal/jzw051
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2016
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Vol 24
(6)
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pp. 944-956
◽
Cited By ~ 4
Author(s):
Tomasz Andrysiak
◽
Łukasz Saganowski
◽
Michał Choraś
◽
Rafał Kozik
Keyword(s):
Anomaly Detection
◽
Long Memory
◽
Statistical Models
◽
Network Anomaly Detection
Download Full-text
Automatically Created Statistical Models Applied to Network Anomaly Detection
Theory and Applications of Dependable Computer Systems - Advances in Intelligent Systems and Computing
◽
10.1007/978-3-030-48256-5_33
◽
2020
◽
pp. 334-343
Author(s):
Michał Kierul
◽
Tomasz Kierul
◽
Tomasz Andrysiak
◽
Łukasz Saganowski
Keyword(s):
Anomaly Detection
◽
Statistical Models
◽
Network Anomaly Detection
Download Full-text
A Comparative Study of Statistical Models with Long and Short-Memory Dependence for Network Anomaly Detection
Image Processing and Communications Challenges 7 - Advances in Intelligent Systems and Computing
◽
10.1007/978-3-319-23814-2_29
◽
2015
◽
pp. 255-265
◽
Cited By ~ 1
Author(s):
Tomasz Andrysiak
◽
Łukasz Saganowski
◽
Adam Marchewka
Keyword(s):
Anomaly Detection
◽
Comparative Study
◽
Statistical Models
◽
Short Memory
◽
Network Anomaly Detection
Download Full-text
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
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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
Download Full-text
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
Download Full-text
Few-shot Network Anomaly Detection via Cross-network Meta-learning
Proceedings of the Web Conference 2021
◽
10.1145/3442381.3449922
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2021
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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)
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10.1109/icce-asia49877.2020.9276768
◽
2020
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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
Download Full-text
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