Enhanced Malicious Traffic Detection in Encrypted Communication Using TLS Features and a Multi-class Classifier Ensemble

Author:

Kondaiah Cheemaladinne,Pais Alwyn Roshan,Rao Routhu Srinivasa

Publisher

Springer Science and Business Media LLC

Reference61 articles.

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2. Velan, P., Čermák, M., Čeleda, P., Drašar, M.: A survey of methods for encrypted traffic classification and analysis. Int. J. Netw. Manag. 25, 355–374 (2015)

3. Cao, Z., Xiong, G., Zhao, Y., Li, Z., Guo, L.: A survey on encrypted traffic classification. In: Applications and Techniques in Information Security: 5th International Conference, ATIS 2014, Melbourne, VIC, Australia, November 26–28, 2014. Proceedings 5, pp. 73–81 (2014)

4. Chen, J., Lv, T., Cai, S., Song, L., Yin, S.: A novel detection model for abnormal network traffic based on bidirectional temporal convolutional network. Inf. Softw. Technol. 157, 107166 (2023)

5. Kumar, M., Kondaiah, C., Pais, A., Rao, R.: Machine learning models for phishing detection from TLS traffic. Cluster Comput. 1–15 (2023)

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