QIF-T0108
highNeuromorphic mimicry attack (synaptic weight tampering)
Tier 3 — Demonstrated (Lab-proven)
Legacy status: DEMONSTRATED
Tamper with synaptic weights or inject poisoned sensory input into neuromorphic/SNN hardware (next-gen BCI processors). Evades traditional IDS by mimicking legitimate neural activity patterns. Input poisoning ~90% success, weight tampering ~83%. Traditional IDS detects only 12-15%.
Technique Details
- Tactic
- QIF-B.IN
- Status
- DEMONSTRATED
- Bands
- S1, S2
✚ Therapeutic Application
Tampering with synaptic weight parameters in neuromorphic computing hardware to alter neural network inference without modifying the training data or model architecture
Neural Impact
2 of 7 neural bands affected
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Scoring
NISS:1.1/BI:H/CR:H/CD:H/CV:P/RV:P/NP:N Governance
Neurorights at Risk
This technique threatens 2 of the 4 proposed neurorights (Ienca & Andorno, 2017).
FDORA §3305 Compliance
- ! CVSS cannot express neural-specific impacts
- ! No FDA pathway for consumer sensor exploitation
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) | 4.7 | 4.7 | Medium | - |
| Child (10yr) + ADHD | 4.7 | 5.5 | Medium | +0.83 |
| Adult with ALS | 4.7 | 5.5 | Medium | +0.76 |
Validation Status
Theoretical / Not yet validated. This technique has not been independently tested. See the validation dashboard for what has been tested.