An Accurate and Real-Time Detection Method for Concealed Slow HTTP DoS in Backbone Network
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-56326-3_15
Reference12 articles.
1. Eliyan, L.F., Pietro, R.D.: DoS and DDoS attacks in software defined networks: a survey of existing solutions and research challenges. Future Gener. Comput. Syst. 122, 149–171 (2021)
2. DDoS attacks reports in 2022. https://securelist.com/ddos-attacks-in-q2-2022/107025. Accessed 5 Mar 2023
3. Tripathi N., Hubballi N., Singh Y.: How secure are web servers? an empirical study of slow HTTP DoS attacks and detection. In: 11th International Conference on Availability, Reliability and Security (ARES), pp. 454–463. IEEE (2016). https://doi.org/10.1109/ARES.2016.20
4. Garcia, N., et al.: Distributed real-time SlowDoS attacks detection over encrypted traffic using Artificial Intelligence. J. Netw. Comput. Appl. 173, 102871 (2021)
5. Rani, S.J., Ioannou, I., Nagaradjane, P., et al.: Detection of DDoS attacks in D2D communications using machine learning approach. Comput. Commun. 198, 32–51 (2023)
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