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Record W2156899111 · doi:10.1109/dnsr.2004.1344732

Developing multitier lightweight techniques for protecting medical images within ubiquitous environments

2004· article· en· W2156899111 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
FieldComputer Science
TopicChaos-based Image/Signal Encryption
Canadian institutionsLakehead University
Fundersnot available
KeywordsComputer scienceUbiquitous computingComputer securityThe InternetStream cipherXMLCryptographyComputer networkWorld Wide WebHuman–computer interaction

Abstract

fetched live from OpenAlex

When one begins to think about security and P2P networks, and in particular, ad-hoc P2P ubiquitous networks with no real centralization, one must take a leap from the accepted, in place, on-the-Internet, security practices into the unknown. The article describes an ongoing project at Lakehead University to establish a secure P2P ubiquitous environment using the JXTA infrastructure. Two important issues are particularly addressed: (1) transforming an image into XML so it can be sent as a JXTA message; (2) securely transmitting or storing images using a lightweight dynamically reconfigured stream cipher. The proposed stream cipher is compared to other notable stream ciphers used for ubiquitous environments.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.540
Threshold uncertainty score0.684

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 communication0.0000.001
Open science0.0010.000
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 head0.018
GPT teacher head0.270
Teacher spread0.252 · 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

Quick stats

Citations3
Published2004
Admission routes1
Has abstractyes

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