Design and analysis of DDoS mitigating network architecture
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Safety, Risk, Reliability and Quality,Information Systems,Software
Link
https://link.springer.com/content/pdf/10.1007/s10207-022-00635-1.pdf
Reference39 articles.
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2. Bhuyan, M.H., Bhattacharyya, D.K., Kalita, J.K.: An empirical evaluation of information metrics for low-rate and high-rate DDoS attack detection. Pattern Recognit. Lett. 51, 1–7 (2015). https://doi.org/10.1016/j.patrec.2014.07.019
3. Yan, Q., Yu, F.R., Gong, Q., Li, J.: Software-defined networking (SDN) and distributed denial of service (DDoS) attacks in cloud computing environments: a survey, some research issues, and challenges. IEEE Commun. Surv. Tutor. 18(1), 602–622 (2016). https://doi.org/10.1109/COMST.2015.2487361
4. Osanaiye, O., Choo, K.-K.R., Dlodlo, M.: Distributed denial of service (DDoS) resilience in cloud: review and conceptual cloud DDoS mitigation framework. J. Netw. Comput. Appl. 67, 147–165 (2016). https://doi.org/10.1016/j.jnca.2016.01.001
5. Yu, Y., et al.: LayerChain: a hierarchical edge-cloud blockchain for large-scale low-delay industrial Internet of Things applications. IEEE Trans. Ind. Inform. 17(7), 5077–5086 (2020)
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