SDN/NFV-based framework for autonomous defense against slow-rate DDoS attacks by using reinforcement learning

Author:

Yungaicela-Naula Noe M.ORCID,Vargas-Rosales CesarORCID,Pérez-Díaz Jesús A.

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference28 articles.

1. NETSCOUT Threat Intelligence Report: Findings from 2nd Half 2021;Hummel,2022

2. A survey on machine learning applications for software defined network security;Herrera,2019

3. Data-driven software defined network attack detection: State-of-the-art and perspectives;Wang;Inform. Sci.,2020

4. RL-shield: Mitigating target link-flooding attacks using SDN and deep reinforcement learning routing algorithm;Rezapour;IEEE Trans. Dependable Secure Comput.,2021

5. A survey of moving target defenses for network security;Sengupta;IEEE Commun. Surv. Tutor.,2020

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