Research on Detection and Mitigation Methods of Adaptive Flow Table Overflow Attacks in Software-Defined Networks

Research on Detection and Mitigation Methods of Adaptive Flow Table Overflow Attacks in Software-Defined Networks

In Software-Defined Networks (SDN), the ternary content addressable memory (TCAM) capacity in switches is limited, making them vulnerable to low-rate flow table overflow attacks. Most existing research in this field has not focused on the influence of flow entry eviction mechanisms on the effectiven...

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Bibliographic Details
Main Authors: Ying Zeng, Yong Wang, Yuming Liu
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
SDN
flow table overflow
low-rate attacks
graph neural network
Online Access:https://ieeexplore.ieee.org/document/10487937/

Internet

https://ieeexplore.ieee.org/document/10487937/

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