Towards Application of the Tabular Data Transformation to Images in the Intrusion Detection Tasks Using Deep Learning Techniques
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-60023-4_12
Reference24 articles.
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4. Andresini, G., Appice, A., Mauro, N.D., Loglisci, C., Malerba, D.: Multi-channel deep feature learning for intrusion detection. IEEE Access 8, 53346–53359 (2020). https://doi.org/10.1109/ACCESS.2020.2980937
5. Bazgir, O., Zhang, R., Dhruba, S.R., Rahman, R., Ghosh, S., Pal, R.: Representation of features as images with neighborhood dependencies for compatibility with convolutional neural networks. Nat. Commun. (2020). https://doi.org/10.1038/s41467-020-18197-y
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