Analyzing the Benefits of Optical Topology Programming for Mitigating Link-Flood DDoS Attacks

Link-flood attacks (LFAs) overwhelm bandwidth on links in a network using traffic from many sources, which is indistinguishable from benign traffic. Unfortunately, traditional DDoS defenses are incapable of stopping such attacks and recently proposed software-defined solutions are ineffective. In th...

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Vydáno v:IEEE transactions on dependable and secure computing Ročník 22; číslo 1; s. 146 - 163
Hlavní autoři: Nance-Hall, Matthew, Liu, Zaoxing, Sekar, Vyas, Durairajan, Ramakrishnan
Médium: Journal Article
Jazyk:angličtina
Vydáno: Washington IEEE 01.01.2025
IEEE Computer Society
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ISSN:1545-5971, 1941-0018
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Shrnutí:Link-flood attacks (LFAs) overwhelm bandwidth on links in a network using traffic from many sources, which is indistinguishable from benign traffic. Unfortunately, traditional DDoS defenses are incapable of stopping such attacks and recently proposed software-defined solutions are ineffective. In this work, we observe a new opportunity for mitigating LFAs using optical networking advances. In essence, we envision new capabilities for topology programming , to scale capacity on-demand to avoid congestion and add new links to the network to create new paths for traffic during LFA incidents. Realizing these benefits of optical topology programming raises unique challenges; the search space for candidate topology configurations is very large and joint optimization of topology and routing is NP-hard. We present ONSET-a framework that tackles these challenges to lay a practical foundation for topology programming-based defenses against LFAs. We show that ONSET complements existing programmable network defenses and amplifies their benefits. We perform a what-if style analysis of ONSET by simulating a wide-ranging set of attacks, including terabit-scale attacks against every single link, on five networks with two different routing capabilities and observe that ONSET provides the means to mitigate congestion loss in more than 90% of the hundreds of diverse attack scenarios considered.
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ISSN:1545-5971
1941-0018
DOI:10.1109/TDSC.2024.3391188