QIF-T0031
mediumBattery drain attack (resource depletion)
Tier 5 — Theoretical (Modeled / Simulated)
Legacy status: THEORETICAL
Force BCI processor to perform computationally expensive tasks (e.g., continuous high-rate sampling, unnecessary ML inference) to drain battery faster than normal. Critical for implanted BCIs where battery replacement requires surgery. Wearable BCIs also affected during critical use periods.
Technique Details
- Tactic
- QIF-P.DS
- Status
- THEORETICAL
- Bands
- S1, S2
✚ Therapeutic Application
Accelerated battery depletion of implanted BCI through sustained high-power operation
Neural Impact
2 of 7 neural bands affected
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Scoring
NISS:1.1/BI:L/CR:N/CD:N/CV:N/RV:F/NP:N CVSS:4.0/AV:A/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:L Governance
Neurorights at Risk
This technique threatens 1 of the 4 proposed neurorights (Ienca & Andorno, 2017).
FDORA §3305 Compliance
- ! 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) | 0.7 | 0.7 | Low | - |
| Child (10yr) + ADHD | 0.7 | 0.8 | Low | +0.12 |
| Adult with ALS | 0.7 | 0.8 | Low | +0.11 |
Validation Status
Theoretical / Not yet validated. This technique has not been independently tested. See the validation dashboard for what has been tested.