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Architecting Programmable Data Plane Defenses into the Network with FastFlex

The work

AuthorsJiarong Xing; Wenqing Wu; Ang Chen
Editors
Typemisc
Year2019
Citekeyxing2019architecting

Where it appeared

Published inACM Workshop on Hot Topics in Networks (HotNets)
Pages161--169

Identifiers

DOI10.1145/3365609.3365860
OpenAlexW2988465398

From OpenAlex, which stores abstracts as an index of words and their positions: what is shown is rebuilt from that, and reads fluently whether or not it is what the author wrote.

Abstract

This paper is motivated by the ever increasing scale and diversity of attacks that are best handled by the network infrastructure. FastFlex builds upon recent progress, which has developed a variety of network defenses in programmable data planes, and takes this trend one step further: it aims to develop architectural support for these defenses as a first-class citizen. We envision that the network architecture would support these defenses as naturally as it does routing---as the network routes traffic end-to-end, it also turns the defenses on and off as needed for attack mitigation. We propose a key abstraction: the multimode data plane. Normally, it operates under optimal configurations computed by centralized control, but upon attacks, it performs distributed mode changes entirely in data plane for mitigation. Mixed-vector attacks would trigger co-existing modes at different regions of the network, and attacks that rapidly change would be met with equally fast mode adaptations. We sketch this vision, discuss the opportunities and challenges it involves, and present a use case on link-flooding defense.

How it got here

How it got hereagent via openalex
Added2026-10-28 21:13 UTC
Not denied bya person 2026-10-29 17:12 UTC

Cite it as

@misc{xing2019architecting,
  title        = {Architecting Programmable Data Plane Defenses into the Network with FastFlex},
  author       = {Jiarong Xing and Wenqing Wu and Ang Chen},
  year         = {2019},
  journal      = {ACM Workshop on Hot Topics in Networks (HotNets)},
  pages        = {161--169},
  doi          = {10.1145/3365609.3365860},
}

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