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Artifacts - Anycast Agility: Network Playbooks to Fight DDoS

Authors: A S M Rizvi; Bertholdo, Leandro M.; Ceron, João; Heidemann, John;

Artifacts - Anycast Agility: Network Playbooks to Fight DDoS

Abstract

In this document, we provide datasets and software tools related to our paper “Anycast Agility: Network Playbooks to Fight DDoS”. Our artifact contains several datasets generated from our anycast experiments and analysis. Our datasets provide a snapshot of the results that we generated during our experiments. Some of our experimental results are dependent on the current state of the network interconnections and policies. However, due to the anycast stability, we expect to get similar results if we redo the experiments now. Our published datasets support our key results and are publicly available. We also provide tools and scripts that can be useful for other researchers. We provide datasets and tools for measuring anycast agility against DDoS. Our datasets are available upon request. We provide datasets about the traffic distribution after BGP changes in testbeds, attack data from a DNS root server and from the Dutch National Scrubbing Center, other data related to anycast catchment stability, and other supporting data for our software tools. We provide codes for traffic estimation, for reproducing experiments, and for parsing the collected data.

This work is supported, in part, by the DHS HSARPA Cyber Security Division via contract number HSHQDC-17-R-B0004-TTA.02-0006-I and Netherlands Organisation for scientific research (4019020199).

{"references": ["https://doi.org/10.48550/arxiv.2006.14058", "https://ant.isi.edu/paaddos/index.html", "http://paaddos.nl/"]}

Country
Netherlands
Related Organizations
Keywords

Anycast, DNS, BGP, Traffic Engineering, Distributed Denial of Service Attacks - DDoS

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selected citations
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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).
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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.
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