Forecasting of Computer Network Anomalous States Based on Sequential Pattern Analysis of “Historical Data”-Reference-Cited by-同舟云学术

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Forecasting of Computer Network Anomalous States Based on Sequential Pattern Analysis of “Historical Data”

Published:2021-11 Issue:6 Volume:55 Page:522-533
ISSN:0146-4116
Container-title:Automatic Control and Computer Sciences
language:en
Short-container-title:Aut. Control Comp. Sci.

Author:

Sheluhin O. I.,Kostin D. V.,Polkovnikov M. V.

Publisher

Allerton Press

Subject

Signal Processing,Control and Systems Engineering,Software

Link

https://link.springer.com/content/pdf/10.3103/S0146411621060067.pdf

Reference35 articles.

1. Gu, X. and Wang, H., Online anomaly prediction for robust cluster systems, IEEE 25th Int. Conf. on Data Engineering, Shanghai, 2009, IEEE, 2009, pp. 1000–1011. https://doi.org/10.1109/ICDE.2009.128

2. Cohen, S., Zhang, M., Goldszmidt, J., Symons, T., Kelly, T., and Fox, A, Capturing, indexing, clustering, and retrieving system history, ACM SIGOPS Oper. Syst. Rev., 2005, vol. 39, no. 5, pp. 105–118. https://doi.org/10.1145/1095809.1095821

3. Mirza, M., Sommers, J., Barford, P., and Zhu, X., A machine learning approach to TCP throughput prediction, ACM SIGMETRICS Perform. Eval. Rev., 2007, vol. 35, no. 1, pp. 97–108. https://doi.org/10.1145/1269899.1254894

4. Sheluhin, O.I., Kostin, D.V., and Gorodnichev, M.G., Multiclass classification of anomalous states of computer systems by means of intellectual analysis of system journals, Autom. Control Comput. Sci., 2020, vol. 54, no. 6, pp. 549–559. https://doi.org/10.3103/S0146411620060073

5. Sheluhin, O.I. and Ryabinin, V.S., Detection anomalies of big data in unstructured syslogs, Vopr. Kiberbezop., 2019, no. 2, pp. 36–41. https://doi.org/10.21681/2311-3456-2019-2-36-41

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