Structural, Adversarial, & Availability-Hardened Merkle Architecture
This technical report defines the architectural specification for Ternary Moral Logic (TML). To ensure Contextual Integrity and prevent retroactive reinterpretation of moral events, TML utilizes a cryptographically hardened, ternary Merkle structure. This architecture guarantees causal ordering and "Sacred Zero" protection even under adversarial conditions.
Audio Security Briefing
Listen to a synthesized deep-dive into the adversarial threat model and TML's defense mechanisms.
Inference Latency
Real-time visible latency
Availability
Data rehydration guarantee
Throughput
Sustained event ingestion
Security
Resistant Hash Algo
Canonical Leaf Node Specification
The atomic unit of TML is the Canonical Leaf Node. To enforce contextual integrity, the leaf schema is rigid and deterministic. Unlike standard logs, TML leaves MUST include the Active Axiom Set Hash, rendering retroactive rule changes cryptographically impossible.
INTEGRITY ENFORCEMENT
- ✓ Event ID: Globally unique monotonic identifier.
- ✓ Sacred Zero: Direct trigger source reference.
- ! Axiom Set Hash: Binds decision to specific rule version.
- ✓ Schema Hash: Prevents silent field modification.
Binary vs. Ternary Geometry
TML adopts a Ternary Merkle Tree (Base-3) over the traditional Binary (Base-2) structure used in Bitcoin or Ethereum.
Structural Advantage: A ternary tree reduces the proof path length for large datasets. As shown in the graph, for 1,000,000 events, a Ternary tree is approximately 37% shallower than a Binary tree.
- Lower Latency: Fewer hashing operations per inclusion proof.
- Semantic Mapping: Maps naturally to TML's 3 states: Moral, Sacred Zero, Immoral.
Hierarchical Integrity Model
TML segregates moral events into distinct subtrees. This domain separation prevents "risk contagion"—a compromise in the Governance layer cannot cryptographically corrupt the Earth Protection history.
Interactive: Click segments to explore TML Ethical Domains
Latency & Throughput
To operate in real-time inference loops, the Merkle architecture must not become a bottleneck. The system employs Asynchronous Tree Building with a rolling buffer.
Requirement
Visible inference latency must remain ≤2ms even during burst events of >10,000 events/sec.
The chart demonstrates the stability of latency (Line) despite the exponential increase in event throughput (Bars).
Adversarial Hardening Profile
| Threat Vector | TML Defense Mechanism |
|---|---|
| Malicious Insider | Cryptographic Commitment + Multi-chain Anchoring |
| Retroactive Replay | Monotonic Sequence IDs + Trusted Timestamp Binding |
| Schema Modification | Signed Schema Registry + Hash Versioning |
| Data Loss (DA) | Redundant Geo-Distributed Shards + Proof-of-Storage |
| Quantum Attack | Hash Algorithm Agility (Versioned Leaves) |
Data Availability (DA) Strategy
A Merkle root without retrievable data fails TML governance. The architecture mandates a 3-of-5 Redundant Storage Model. Encrypted pre-hash event data is sharded across geographically distinct cold storage providers.