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Protecting Against Distributed Denial of Service (DDoS) Attacks Using Distributed Filtering

Authors: Jonathan T. Trostle;

Protecting Against Distributed Denial of Service (DDoS) Attacks Using Distributed Filtering

Abstract

We present a new scheme, Distributed Filtering Service or DFS, for protecting services against Distributed Denial of Service (DDoS) attacks. Our system is proactive and requires no changes to the Internet core, and no changes to existing ISP routers. DFS can be deployed incrementally, and benefits are obtained immediately. The key to our approach is forcing traffic destined for protected services to widely dispersed filtering points on the Internet, using IP anycast. DFS requires no unicast address nodes that can be targetted by an attacker; we are unaware of any other DDoS defensive system with this property. We also use two other techniques that have not been well used in DDoS defensive systems: key logging and the IPsec replay window. For the latter, we model attacks and give lower bounds for its effectiveness. We analyze DFS's resistance against large scale DDoS flooding attacks; DFS offers relatively strong protection against DDoS attacks.

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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Average
Top 10%
Average
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