| maiva-complete.html | MAIVA v5.18 simulation + PDR briefing | Mar 14, 2026 |
| MAIVAAgent.tla | TLA+ formal specification | Mar 14, 2026 |
| MAIVAAgent.cfg | TLC configuration (3 agents) | Mar 14, 2026 |
| README.md | Project documentation | Mar 14, 2026 |
| CHANGELOG.md | Version history v5.0 to v5.18 | Mar 14, 2026 |
| LICENSE | MIT License | Mar 14, 2026 |
MAIVA: Multi-Agent Integrity Verification Architecture
MAIVA is the fourth component of a four-part autonomous authority stack (SATA, HMAA, CARA, MAIVA). It extends HMAA's individual authority model to multi-agent swarms with Byzantine-resilient aggregation, CUSUM-augmented anomaly detection, graduated escalation, and DoDD 3000.09 action gate classification.
Publication
DOI: 10.5281/zenodo.19015517
Author: Burak Oktenli
Affiliation: Georgetown University, M.P.S. Applied Intelligence
License: MIT
Authority Stack
- SATA: Hardware trust (TPM-anchored sensor attestation, DOI: 10.5281/zenodo.18936251)
- HMAA: Individual authority computation (DOI: 10.5281/zenodo.18861653)
- CARA: Authority recovery after collapse (DOI: 10.5281/zenodo.18917790)
- MAIVA: Multi-agent swarm trust aggregation (DOI: 10.5281/zenodo.19015517)
Key Components
- HMAA individual authority: A = τ_eff · C · H · (1−D) with temporal decay
- SAAP Byzantine-resilient trimmed weighted median, per-partition independence
- 3-layer detection: static + CUSUM temporal + enrollment drift
- Action Gates: CRITICAL/ELEVATED/ROUTINE/PASSIVE with coalition cap
- Graduated escalation with per-level action permissions and override requirements
- Sensitivity analysis: authority and F1 vs Byzantine ratio and agent count
- WCET profiling against 16ms budget
- 37 self-tests (21 functional + 4 property-based + 4 detection + 4 checksum + 4 CUSUM)
- TLA+ formal specification (3 agents, 5 invariants)
Files
maiva-complete.html: Full simulation + 14-tab PDR briefing (2,396 lines)MAIVAAgent.tla: TLA+ formal state machine specificationMAIVAAgent.cfg: TLC model checker configurationCHANGELOG.md: Full version history (v5.0 through v5.18)MAIVA_Punch_List.md: Engineering review punch list
Author
Burak Oktenli
Georgetown University, M.P.S. Applied Intelligence
ORCID: 0009-0001-8573-1667