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Record W6987128665

Side Channel Information Leakage: Design and Implementation of Hardware Countermeasure

2010· dissertation· en· W6987128665 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

VenueUWSpace (University of Waterloo) · 2010
Typedissertation
Languageen
FieldComputer Science
TopicCryptographic Implementations and Security
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSide channel attackPower analysisCountermeasureCMOSInformation leakageChipScan chainKey (lock)Channel (broadcasting)Vulnerability (computing)
DOInot available

Abstract

fetched live from OpenAlex

Deployment of Dynamic Differential Logics (DDL) appears to be a promising choice for providing resistance against leakage of side channel information. However, the resistance provided by these logics is too costly for widespread area-constrained applications. Implementation of a secure DDL-based countermeasure also requires a complex layout methodology for balancing the load at the differential outputs.
\nThis thesis, unlike previous logic level approaches, presents a novel exploitation of static and single-ended logic for designing the side channel countermeasure. The proposed technique is used in the implementation of a protected crypto core consisting of the AES “AddRoundKey” and “SubByte” transformation. The test chip including the protected and unprotected crypto cores is fabricated in 180nm CMOS technology. A correlation analysis on the unprotected core results in revealing the key at the output of the combinational networks and the registers. The quality of the measurements is further improved by introducing an enhanced data capturing method that inserts a minimum power consuming input as a reference vector. In comparison, no key-related information is leaked from the protected core even with an order of magnitude increase in the number of averaged traces. For the first time, fabricated chip results are used to validate a new logic level side channel countermeasure that offers lower area and reduced circuit design complexity compared to the DDL-based countermeasures.
\nThis thesis also provides insight into the side channel vulnerability of cryptosystems in sub-90nm CMOS technology nodes. In particular, data dependency of leakage power is analyzed. The number of traces to disclose the key is seen to decrease by 35% from 90nm to 45nm CMOS technology nodes. Analysis shows that the temperature dependency of the subthreshold leakage has an important role in increasing the ability to attack future nanoscale crypto cores. For the first time, the effectiveness of a circuit-based leakage reduction technique is examined for side channel security. This investigation demonstrates that high threshold voltage transistor assignment improves resistance against information leakage. The analysis initiated in this thesis is crucial for rolling out the guidelines of side channel security for the next generation of Cryptosystem.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.112
Threshold uncertainty score0.989

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 communication0.0000.001
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 head0.011
GPT teacher head0.225
Teacher spread0.215 · 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