A Deep Reinforcement Learning-based DDoS Attack Mitigation Scheme for Securing Big Data in Fog-Assisted Cloud Environment
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-023-10407-2.pdf
Reference34 articles.
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3. Cui, J., He, J., Xu, Y., & Zhong, H. (2018). TDDAD: Time-based detection and defense scheme against DDoS attack on SDN controller. Information Security and Privacy, 1(1), 649–665.
4. Elhassouny, A., & Smarandache, F. (2019). Trends in deep convolutional neural networks architectures: A review. In International conference of computer science and renewable energies (ICCSRE), 1(1),(pp. 87–96)
5. Sengathir J., Deva Priya M. (2021). Improved Artificial Bee Colony using Monarchy Butterfly Optimization Algorithm for Load Balancing (IABC-MBOA-LB) in Cloud Environment, Journal of Networks and Systems Management (Vol. 29, No. 39) Springer. ISSN: 1573-7705.
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