Validation Status

Methodology

Simulated 14 distinct attack patterns against the coherence monitoring pipeline. Each attack tested with 50 independent runs to establish statistical significance. Detection thresholds calibrated against synthetic EEG baselines.

Results

• 15-second window: 11/14 attack types detected (78.6%)
• 20-second window: 9/9 tested attack types detected (100%)
• 50-run stats: mean detection latency, false positive rate, confidence intervals computed
• Zero false positives across all 50-run batches at 20s window

Limitations

• All tests used synthetic EEG data, not real brain signals
• Attack patterns are theoretical, not from actual adversaries
• Detection window trade-off: faster detection = lower accuracy

Methodology

Independent validation using BrainFlow SDK to generate synthetic multi-channel EEG. Coherence analysis pipeline tested against known-good and known-bad signal patterns across 16 channels simultaneously.

Results

• 16-channel simultaneous monitoring: all channels processed correctly
• 100% detection rate for injected anomalies
• 0% false positive rate on clean synthetic signals
• BrainFlow SDK confirmed as viable real-hardware integration path

Limitations

• BrainFlow synthetic board, not real EEG hardware
• Single session duration, not long-term stability tested
• 16 channels is below clinical-grade density (64-256 channels)

Methodology

End-to-end simulation of the Neural Sensory Protocol transport layer. Test vectors include ML-KEM-768 key exchange, AES-256-GCM-SIV encryption, frame serialization, and payload compression benchmarks.

Results

• Round-trip encrypt/decrypt: PASS (all test vectors)
• 65-90% compression ratio depending on signal type
• Frame format serialization/deserialization: PASS
• Post-quantum key exchange simulation: PASS

Limitations

• Software simulation only, not tested on implant-class hardware (ARM Cortex-M4)
• Latency benchmarks are desktop-class, not embedded
• No real BCI data streams tested

Methodology

All 103 TARA techniques scored through the NISS engine. Verified that severity levels escalate correctly, PINS flag triggers when BI >= High or RV = Irreversible, and context profiles shift scores as specified.

Results

• 103/103 techniques scored without errors
• PINS flag correctly triggered for all qualifying techniques
• Severity thresholds (Critical/High/Medium/Low/None) verified
• Context profiles (Clinical, Research, Consumer, Military) shift weights correctly

Limitations

• Scoring correctness is self-referential (no external NISS implementation to compare against)
• Clinical appropriateness of score magnitudes not validated by clinicians
• Equal-weight default assumption untested against real BCI incident data

Methodology

Simulated the S1 (Analog) band boundary conditions: 50/60 Hz notch filtering, electrode impedance monitoring, and signal amplitude guards. Verified that out-of-band signals are rejected and impedance drift triggers alerts.

Results

• Notch filters: 50/60 Hz rejection verified at -40dB
• Impedance guard: drift detection triggers at configured threshold
• Signal amplitude clipping: out-of-range values rejected
• Baseline coherence maintained through filtering pipeline

Limitations

• Simulated signals, not real electrode recordings
• No tissue-electrode interface modeling
• Single-channel validation only

Related TARA Techniques

Methodology

Protocol analysis of a widely-used open-source BCI streaming library revealed missing authentication, encryption, and integrity verification. Proof-of-concept developed and tested.

Results

• Vulnerability confirmed in protocol design
• PoC demonstrates unauthenticated stream injection
• Coordinated disclosure initiated with maintainers
• Details withheld pending vendor response

Limitations

• PoC tested against software implementation, not clinical deployment
• Impact assessment is theoretical for clinical BCI contexts
• Awaiting vendor response for severity classification

Related TARA Techniques

Methodology

Systematic derivation of security guardrails from physics equations (thermodynamics, electromagnetism, information theory). Each constraint cross-verified by multiple AI systems (Claude, Gemini). Architecture reviewed for internal consistency and completeness.

Results

• 12/13 constraint equations verified as physically sound
• 4-layer architecture: Physics Boundary, Signal Integrity, Anomaly Detection, Protocol Enforcement
• 1 constraint (mechanical mismatch epsilon_safe) flagged as requiring empirical calibration
• Cross-AI verification: Claude and Gemini independently confirmed constraint derivations
• No published equivalent found (gap confirmed in literature)

Limitations

• Analytical derivation, not empirical validation
• Constraint parameters need calibration against real BCI hardware
• Architecture is concept design, not implemented
• Cross-AI verification does not substitute for peer review

Methodology

Automated pipeline resolves DOIs, arXiv references, and hyperlinks. Searches Crossref for named citations. Flags unsourced numerical claims. Run against all 20 field journal blog posts.

Results

• 19/20 posts passed (fact_checked: true)
• 1 failure: Entry 011 dead URL (qinnovate.com/blog/hourglass-compute-hypothesis)
• 59 warnings: unsourced numerical claims (expected for personal journal entries)
• All DOIs and arXiv references resolved successfully

Limitations

• Cannot verify claims that lack citations (by design, journals are personal)
• Crossref search is fuzzy matching, may miss edge cases
• Pipeline does not verify claim accuracy, only link/reference liveness

Methodology

Manual and automated verification of all citations in the Zenodo preprint. Every DOI resolved via Crossref API. Author lists checked against publisher pages. Process triggered after Dr. Schroder flagged a fabricated citation publicly.

Results

• 3 fabricated citations identified and removed
• 3 wrong author lists corrected
• All remaining citations verified via DOI resolution
• Verification protocol now mandatory for all future publications

Limitations

• Caught after publication (v1.0), not before
• Manual process, not fully automated
• Only covers DOI-resolvable references