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QIF-T0109

medium

Data alignment exploitation

Tier 5 — Theoretical (Modeled / Simulated)

Legacy status: THEORETICAL

Target the data alignment step used by adversarial defenses (ABAT, A3E). If defenders use Euclidean alignment or reference matrices for cross-session EEG normalization, an attacker who can influence alignment reference data can bias the alignment transform, causing downstream misclassification. QIF-derived: inferred from defense architecture analysis.

Technique Details

Tactic
QIF-B.EV
Status
THEORETICAL
Bands
S2, I0

Therapeutic Application

Exploiting misalignment between neural data recording parameters and processing pipeline expectations to introduce systematic bias or silent data corruption

Neural Impact

2 of 7 neural bands affected

S2 I0

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Scoring

NISS v1.1 NISS:1.1/BI:L/CR:L/CD:L/CV:P/RV:P/NP:N
3.4Low
BICRCDCVRVNP
 

Governance

Neurorights at Risk

This technique threatens 2 of the 4 proposed neurorights (Ienca & Andorno, 2017).

Consent Complexity
0.24 / 4.0

FDORA §3305 Compliance

Non-Cyber Device (missing: software)
Regulatory Coverage
0.1 / 1.0
524B Requirements
TM VA SA PM
Regulatory Gaps
  • ! CVSS cannot express neural-specific impacts
  • ! No FDA pathway for consumer sensor exploitation
  • ! Threat not yet in regulatory threat catalogs

Population Vulnerability

CRB vulnerability adjustment (γ=0.30) accounts for age, diagnosis severity, consent capacity, and device dependency.

Population NISS Base Adjusted Severity Delta
Adult (Default) 3.4 3.4 Low -
Child (10yr) + ADHD 3.4 4.0 Low +0.60
Adult with ALS 3.4 3.9 Low +0.55

Validation Status

Theoretical / Not yet validated. This technique has not been independently tested. See the validation dashboard for what has been tested.

Qinnovate Neural Security Atlas Edit this on GitHub