Proposal of a DDoS Attack Detection Method Using the Communication Interval

Author:

Iwasa Kosei,Usuzaki Shotaro,Aburada Kentaro,Yamaba Hisaaki,Katayama Tetsuro,Park Mirang,Okazaki Naonobu

Publisher

Springer Nature Singapore

Reference9 articles.

1. Garber, L.: Denial-of-service attacks rip the internet. Computer 33(4), 12–17 (2000). https://doi.org/10.1109/MC.2000.839316

2. Usuzaki, S., et al.: A proposal of highly responsive distributed denial-of-service attacks detection using real-time burst detection method. J. Inf. Process. 26, 257–266 (2018)

3. Bifet, A., Gavalda, R.: Learning from time-changing data with adaptive windowing. In: Proceedings of the 2007 SIAM international conference on data mining. Society for Industrial and Applied Mathematics (2007)

4. Momoka, M., Shotaro, U., Kentaro, A., Hisaaki, Y., Naonobu, O.: A real-time DDoS attack detection method using dynamic window size monitoring. In: 2022 Hinokuni - Land of Fire Information Processing Symposium (2022). (in Japanese)

5. Shotaro, U., Kentaro, A., Hisaaki, Y., Mirang, P., Nanobu, O.: Elastic denial-of-service attack detection method by monitoring with multiple window size. In: Multimedia, Distributed, Cooperative, and Mobile Symposium, pp. 495–504 (2019). (in Japanese)

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