QIF-T0105
highNeural sybil
Tier 5 — Theoretical (Modeled / Simulated)
Legacy status: THEORETICAL
Create multiple fake neural node identities to overwhelm consensus or trust mechanisms in multi-electrode/multi-node BCI networks. Analogous to Sybil attacks in distributed systems. From Murcia neural cyberattack taxonomy.
Technique Details
- Tactic
- QIF-N.IJ
- Status
- THEORETICAL
- Bands
- I0, N1
✚ Therapeutic Application
Creating multiple fake BCI node identities to subvert reputation or consensus mechanisms in distributed neural networks
Neural Impact
2 of 7 neural bands affected
Drag to rotate. Click a region to learn more.
Click or hover over a glowing region to see the attack techniques targeting it and their severity.
Scoring
NISS:1.1/BI:L/CR:H/CD:H/CV:E/RV:P/NP:N Governance
Neurorights at Risk
This technique threatens 3 of the 4 proposed neurorights (Ienca & Andorno, 2017).
FDORA §3305 Compliance
- ! CVSS cannot express neural-specific impacts
- ! 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) | 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.