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Record W2108830258 · doi:10.1109/itcc.2005.6

A countermeasure for EM attack of a wireless PDA

2005· article· en· W2108830258 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
TopicCryptographic Implementations and Security
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsCountermeasureComputer scienceWirelessPower analysisEnergy (signal processing)Computer securityEmbedded systemComputer networkCryptographyTelecommunicationsEngineering

Abstract

fetched live from OpenAlex

Future wireless embedded systems will be increasingly powerful, supporting many more applications including one of the most crucial, security. Although many wireless devices offer more resistance to bus probing and power analysis attacks due to their compact size, susceptibility to electromagnetic (EM) attacks must be analyzed. This paper demonstrates, for the first time, a real EM attack on a PDA. A new low energy countermeasure and a new first order differential frequency analysis (DFA) is presented. Real energy measurements are also used to compare the energy overheads of different countermeasures. Results show that the low energy countermeasure thwarts first order differential analysis without large overheads of table regeneration or excessive storage. With the emergence of security applications in PDAs, cellphones, etc., low energy countermeasures for resistance to DFA are crucial for supporting future secure wireless embedded systems.

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 categoriesnone
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 score0.698
Threshold uncertainty score0.172

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)0.0000.000

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 head0.034
GPT teacher head0.313
Teacher spread0.279 · 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