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Parsing Protocol Standards to Parse Standard Protocols

Authors: McQuistin, Stephen; Band, Vivian; Jacob, Dejice; Perkins, Colin;

Parsing Protocol Standards to Parse Standard Protocols

Abstract

Internet protocol standards have been slow to adopt formal protocol description languages and methodologies, and are still largely written as English prose. This makes it hard to check them for correctness, or to automatically derive implementations from standards. Reasons for this are both technical and social. Some methodologies effectively describe complex communication patterns, but cannot model protocol data. Others are unnecessarily tied to particular description formats, or use unfamiliar concepts and terminology, and don't address usability by standards developers.\ud \ud We assess the viability of existing approaches to modelling and parsing protocol data, and identify missing features needed to represent emerging protocols. We present a typed protocol representation that can describe: (i) the format of protocol data, including data-dependent formats; (ii) contextual information needed to maintain parser state, where correct parsing may depend on out-of-band information or prior packets; and (iii) transformations and helper functions needed for multi-stage parsing. We discuss social barriers to adoption, and describe a set of principles to encourage use of formal languages within the Internet standards process. We show how to integrate our approach with the existing standards process, using QUIC as an example.

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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).
    8
    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
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!
8
Top 10%
Average
Average
Green