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An Overview of Cryptography

2013· book-chapter· en· W2487705751 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

VenueIGI Global eBooks · 2013
Typebook-chapter
Languageen
FieldComputer Science
TopicCryptographic Implementations and Security
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsComputer scienceCryptographyComputer securityAuthentication (law)EncryptionConfidentialityIdentification (biology)Key (lock)Cryptographic protocolPublic-key cryptography

Abstract

fetched live from OpenAlex

As Radio Frequency Identification (RFID) devices become ever more ubiquitous it is very likely that demands on them to provide certain types of security such as authentication, confidentiality, and privacy and encryption for security, depending on the application, will increase. This chapter gives a brief overview of cryptographic techniques and protocols. Given the often limited complexity and power of RFID devices, much effort has been devoted to devising so-called “lightweight” cryptographic techniques for such devices, and a few of these are considered in this chapter. Even public key techniques to provide services such as identification and digital signatures have been proposed for some scenarios involving RFID devices, although such devices will obviously require significant computing power. While such applications are seemingly beyond currently available technology, given the speed at which technology is able to yield computational increases at reasonable cost and device size, it seems prudent to consider such protocols at this point.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.962
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 science0.0010.000
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 head0.048
GPT teacher head0.312
Teacher spread0.264 · 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