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Record W7132964714

Combinatorial techniques for key distribution and information storage

2007· dissertation· W7132964714 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTSpace · 2007
Typedissertation
Language
FieldComputer Science
TopicSecurity in Wireless Sensor Networks
Canadian institutionsnot available
FundersUniversity of WaterlooUniversity of Toronto
KeywordsDecoding methodsEncryptionKey (lock)Broadcast encryptionNode (physics)Public-key cryptographyBroadcasting (networking)IdentifierKey distribution
DOInot available

Abstract

fetched live from OpenAlex

We address four security problems in electronic information systems. First, we analyze tree-based broadcast encryption schemes. The challenge of broadcast encryption lies in minimizing storage and the number of encryptions while maintaining system security. Tree-based key distribution schemes are the best known broadcast encryption schemes. We introduce generating functions for this family of schemes, which lead to analysis of the mean number of encryptions. We also introduce approximations that are easy to calculate and significantly more accurate than previously known estimations. Second, we propose communication-efficient schemes for wireless sensor networks. A secure communication link is established between sensors that hold common keys, which are discovered by each node broadcasting the key identifiers of its key ring. We make modifications to existing schemes so that common keys can be discovered efficiently. Our modifications do not weaken network connectivity or system resiliency against key compromise. We also introduce families of new deterministic key distribution schemes with low-communication overhead. Third, we introduce decoding algorithms for subset batch codes. The use of subset codes can attain essentially optimal system parameters for private information retrieval protocols and make them practical. Our decoding algorithm gives the optimal recoverability parameter for certain types of multisets. While a general decoding algorithm appears very difficult to develop, our decoding algorithms suggest directions for further development of practical codes for private information retrieval. Lastly, we introduce an extended Steiner system ES( t, k, v), a collection of k-multisets (called blocks) of a v-set such that every t-multiset belongs to exactly one block. It provides a natural solution to the problem of retrieving a multiset of items by accessing only one server. For such designs, the number of blocks is not unique. An extended triple system, with t = 2 and k = 3, was previously known. We show constructions of ES(3, 4, v) for infinitely many values of v with minimum number of blocks. We also present a simple construction of ES(2, q + 2, q 2 + q + 1) for a prime power q.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.904
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.001
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 head0.011
GPT teacher head0.315
Teacher spread0.304 · 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