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Record W2548183781 · doi:10.1109/ccece.2016.7726675

Using resource public key infrastructure for secure border gateway protocol

2016· article· en· W2548183781 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicIPv6, Mobility, Handover, Networks, Security
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsBorder Gateway ProtocolDefault-free zoneComputer networkComputer scienceRouting protocolEnhanced Interior Gateway Routing ProtocolComputer securityPublic-key cryptographyTestbedInterior gateway protocolZone Routing ProtocolThe InternetRouting (electronic design automation)Link-state routing protocolWorld Wide WebEncryption

Abstract

fetched live from OpenAlex

Border Gateway Protocol (BGP) is a widely used Internet routing protocol. While several security features have been introduced and implemented to prevent attacks and address routing instabilities, BGP remains vulnerable due to lack of integrity and authentication of BGP messages. BGP operations strongly depend on its security and attacks on BGP adversely influence packet routing. Given the importance of BGP security, several approaches have been developed to enhance security of BGP sessions. The Resource Public Key Infrastructure (RPKI), a specialized Public Key Infrastructure (PKI), was developed to help secure the Internet routing. It uses cryptographically verifiable statements to ensure that Autonomous Systems (ASes), the Internet resource holders, are certifiably linked to the routing information they generate thus resulting in a reliable routing origin. In this paper, we describe a testbed developed for validating route origin and present simulation results.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.802
Threshold uncertainty score1.000

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.280
Teacher spread0.261 · 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