Link Discovery Attacks in Software-Defined Networks: Topology Poisoning and Impact Analysis

Author:

Baidya Sonali Sen, ,Hewett Rattikorn

Abstract

Software Defined Networking (SDN) has become a popular technology that offers advantages of programmable and flexible network management over the legacy practice. The centralized SDN controller is an important enabler of these benefits. One of the most crucial tasks of the SDN controller is link discovery as it provides topology of the network essential for the controller to direct or create rule forwarding and routing mechanisms. Much research on SDN security has been studied but only recently that security of OpenFlow link discovery protocols and topology poisoning have been addressed. Existing work includes link fabrication attacks via compromised hosts and defense systems with authentication. This paper discusses SDN link discovery process and its vulnerability to link discovery attacks including new attacks via compromised switches. We present a simple but effective defense mechanism using active ports that can detect both host-based and switch-based link discovery attacks. Finally, the paper presents an analytical and empirical analysis of the impacts of topology attacks on routing. The paper discusses attack details, proposed methods and results of these analyses.

Publisher

Engineering and Technology Publishing

Subject

Electrical and Electronic Engineering

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Towards adoption of secure communication protocol in Software Defined Networks;2023 15th International Conference on COMmunication Systems & NETworkS (COMSNETS);2023-01-03

2. On the (in)Security of the Control Plane of SDN Architecture: A Survey;IEEE Access;2023

3. IA-DD: An SDN Topological Poisoning Attack Defense Scheme Based on Blockchain;2022 18th International Conference on Mobility, Sensing and Networking (MSN);2022-12

4. A Link Fabrication Attack Mitigation Approach (LiFAMA) for Software Defined Networks;Electronics;2022-05-16

5. Efficient and Secure Topology Discovery in SDN: Review;Advances on Intelligent Informatics and Computing;2022

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