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QIF-T0063

medium

Noise injection (detection masking)

Tier 5 — Theoretical (Modeled / Simulated)

Legacy status: THEORETICAL

Add carefully calibrated noise to mask malicious signal components from detection algorithms. Targets QI's sigma-phi (phase) and sigma-gamma (amplitude) terms. Multi-channel cross-validation detects inconsistent noise patterns.

Technique Details

Tactic
QIF-B.EV
Status
THEORETICAL
Bands
I0, S1

Therapeutic Application

Injection of noise into BCI data pipeline to mask ongoing attack signatures

Clinical Analog

Stochastic resonance (SR) — adding noise to enhance weak signal detection

Treats

  • sensory enhancement (hearing, touch)
  • balance improvement in elderly
  • neural signal amplification

Neural Impact

2 of 7 neural bands affected

I0 S1

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DSM-5-TR Diagnostic Mappings

Diagnostic category references for threat modeling, not diagnostic claims.

F43.2 Adjustment Disorder

Pathway: I0 (electrode-tissue boundary) → measurement

Following Poldrack (2006), brain region disruption does not uniquely predict psychiatric outcomes.

Scoring

NISS v1.1 NISS:1.1/BI:L/CR:L/CD:L/CV:N/RV:F/NP:N
CVSS v4.0 CVSS:4.0/AV:A/AC:L/AT:P/PR:L/UI:N/VC:N/VI:L/VA:L/SC:N/SI:L/SA:N
1.4Low
BICRCDCVRVNP
 

Governance

Neurorights at Risk

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

Consent Complexity
0.40 / 4.0

FDORA §3305 Compliance

Cyber Device
Regulatory Coverage
0.6 / 1.0
524B Requirements
TM VA SA PM
Regulatory Gaps
  • ! CVSS partially captures risk; neural dimensions missing
  • ! 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) 1.4 1.4 Low -
Child (10yr) + ADHD 1.4 1.6 Low +0.25
Adult with ALS 1.4 1.6 Low +0.23

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