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Record W2618638300

Alternate Architecture for Domain Name System to foil Distributed Denial of Service Attack

2006· article· en· W2618638300 on OpenAlexvenueno aff
P. Yogesh

Bibliographic record

VenueThe Journal of Internet Banking and Commerce · 2006
Typearticle
Languageen
FieldEngineering
TopicIPv6, Mobility, Handover, Networks, Security
Canadian institutionsnot available
Fundersnot available
KeywordsDomain Name SystemComputer scienceSingle point of failureName serverServerDenial-of-service attackRound-robin DNSThe InternetComputer networkArchitectureDistributed computingComputer securityDomain (mathematical analysis)Resilience (materials science)World Wide Web
DOInot available

Abstract

fetched live from OpenAlex

The Domain Name System is an important part of the Internet infrastructure and maps symbolic Domain Names to IP addresses. The DNS is a hierarchically arranged distributed database. At the top of the hierarchy is the root. The root is a single point of failure in the DNS architecture. It has been subject to variety of Denial of Service (DoS) attacks. Eliminating the root from this architecture eliminates the single point of failure. This involves storing the addresses of the toplevel domain servers at the name servers, so that they can be reached without going through the root. In this paper we propose two architectures, both capable of foiling the DoS attack. The architectures differ in the capabilities of the clients and servers, and provide different costbenefit tradeoffs. It has been found that a scheme that avoids a root server for name resolution and includes caching capabilities at the client itself, reduces bandwidth requirements, and improve! s response times, resilience to DoS attacks.

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)0.001
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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.168
Threshold uncertainty score0.510

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.008
GPT teacher head0.223
Teacher spread0.214 · 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

Citations1
Published2006
Admission routes1
Has abstractyes

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