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Record W3096724644 · doi:10.5539/cis.v13n4p42

Securing and Improving the Internet Architecture

2020· article· en· W3096724644 on OpenAlexvenueno aff
Austin Liu

Bibliographic record

VenueComputer and Information Science · 2020
Typearticle
Languageen
FieldComputer Science
TopicNetwork Security and Intrusion Detection
Canadian institutionsnot available
FundersGeorgia Institute of Technology
KeywordsComputer scienceThe InternetArchitectureProtocol (science)Computer securityInternet ProtocolIPv6 addressReserved IP addressesInternet layerComputer networkFocus (optics)Address spaceWorld Wide WebIP address managementIPv6

Abstract

fetched live from OpenAlex

The information transfer protocol that supports the modern Internet with its hundreds of thousands of petabytes per month to billions of Internet users across the world was designed in 1981, and it lacks the capacity to properly ensure the security and stability of the Internet today. Features such as the prevention of network attacks, a large address space for the increasing number of devices, verification of the source of an Internet request, and so on are all absent from the current architecture. This paper seeks to review, summarize, and compare six proposals submitted to address the issues IP faces: the Accountable Internet Protocol, the Expressive Internet Architecture, MobilityFirst, Passport, StopIt, and the Traffic Validation Architecture. Finally, the paper details a protocol design that not only is feasible to adopt with the present infrastructure/computing power but also addresses some of the pressing issues of IP, with particular focus on the address space, mitigation of network attacks, and source verification.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.968
Threshold uncertainty score0.858

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.005
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.196
Teacher spread0.188 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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