Network Anomaly Detection Based on Sparse Representation and Incoherent Dictionary Learning-Reference-Cited by-同舟云学术

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Network Anomaly Detection Based on Sparse Representation and Incoherent Dictionary Learning

Published:2022 Issue: Volume: Page:99-108
ISSN:2367-3370
Container-title:New Advances in Dependability of Networks and Systems
language:
Short-container-title:

Author:

Kierul Tomasz,Andrysiak Tomasz,Kierul Michał

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-06746-4_10

Reference19 articles.

1. KandanMani, M., Kandan, G., Jaspher, W., Melvin, A.: Network attacks and prevention techniques - a study. In: Conference: 2019 IEEE International Conference on Electrical, Computer and Communication Technologies (2019)

2. Biggio, B., Fumera, G., Roli, F.: Security evaluation of pattern classifiers under attack. IEEE Trans. Knowl. Data Eng. 26(4), 984–996 (2014)

3. Chondola, V., Banerjee, A., Kumar, V.: Anomaly detection for discrete sequences: a survey. IEEE Trans. Knowl. Data Eng. 24(5), 823–839 (2012)

4. Scherrer, A., Larrieu, N., Owezarski, P., Borgnat, P., Abry, P.: Non-gaussian and long memory statistical characterizations for internet traffic with anomalies. IEEE Trans. Depend. Secure Comput. 4(1), 56–70 (2007)

5. Adler, A., Elad, M., Hel-Or, Y., Rivlin, E.: Sparse coding with anomaly detection. J. Signal Process. Syst. 79(2), 179–188 (2014). https://doi.org/10.1007/s11265-014-0913-0

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1. An Incoherent Simultaneous Codeword Optimization Algorithm for Dictionary Learning;2023 6th International Conference on Information Communication and Signal Processing (ICICSP);2023-09-23

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