‘The Aviation Backend‘™
Manufacturing & Supply Network Enterprise Application Backend
An Absence of DNS (ADNS) Enterprise System
Bucordo/Tendermint
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Kademlia/DHT
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If you’re involved in manufacturing for the Aviation Industry, you may be interested in our Supply Network Infrastructure Underlay. We employ a novel method by which our centralised Databases (on-prem or public Cloud-based) act like Blockchains, but without data volume restrictions. We back this with a system of Anchoring Database State to the Hedera (Hiero) Blockchain, for regular cross-checking and auditing. Our systems offer Forensic Level analytic capability. They are driven in one of 3 modes from your existing applications
- A. Hash-only A single generic Hash Attestation action is invoked. None of our Action domain schemas is used in this mode.
- B. Atomic dual-write The legacy front-end writes simultaneously to the customer’s database AND to a specific tx-rails Action. The domain schemas are the dual-write targets, and are fully relevant.
- C. CDC observer A Change-Data-Capture stream from the legacy DB is translated into the relevant database Action via a mapping layer. Our domain Action schemas are the destination of every translated event.
Tx-Rails offers a **configurable privacy posture** for aviation customers, because the right answer differs across the industry.
Commercial maintenance and MRO operations — where the regulator cares about airworthiness traceability and chain-of-custody, not exact costs — work with our default settings. We never see descriptions, party names, or document attachments. The numeric amounts we see are decoupled from their unit, and the 149 ChubbyChecker checks operate on the cryptographic envelope without needing to know what was repaired or what it cost.
Defence aviation, ITAR-controlled parts, and OEM customers** with competitive-pricing concerns choose a stronger regime. The amount field of every Trace can be **bucketed** (coarse-grained), **zero-knowledge range-proved** (Tx-Rails verifies the range without seeing the value), or **fully encrypted** under your own asymmetric key (Tx-Rails handles only ciphertext). The choice is yours at deployment time; ChubbyChecker continues to verify cryptographic and BFT integrity in every regime.
[How this works in detail →](/how-it-works/privacy)
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Tx-Rails for Aviation IIoT
A tamper-evident audit substrate for the aircraft, the hangar, and the regulator — without replacing a single line of your FADEC, your HUMS, or your MRO system.
Aviation operators run two stacks side-by-side: a tightly engineered avionics + maintenance world (ARINC buses, FADECs, HUMS, ATA-chaptered work-card systems, CASA / FAA / EASA AD compliance evidence) and a separate IT estate that has to produce sworn evidence of all of it on demand. The avionics stack is purpose-built and untouchable. The IT estate is where audits live or die.
Tx-Rails sits **underneath** the IT estate as a continuous cryptographic audit substrate. It does not replace your MRO system, your engine condition trend monitoring tools, your tech-log application, or your defect-deferral workflow. It binds underneath them and produces tamper-evident, jurisdiction-independent evidence that those systems were the source of every recorded event — evidence an external auditor or regulator can verify cryptographically without having to trust your operator.
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What we capture
The platform captures the audit-significant events derived from your IIoT and avionics data flows. Raw 1 Hz / 100 Hz / 1000 Hz telemetry stays where it belongs — in your engine condition trend monitor, in your HUMS / FOQA stream, in your time-series historian. Tx-Rails records the events that auditors and regulators care about:
Device + Sensor Provenance
- Device registration with ATA chapter classification, regulatory cert ref (Form 1, 8130-3, CASA tag), manufacturer / model / serial / firmware version
- Sensor channel definitions** with unit, range, alarm thresholds — every measurable quantity catalogued and version-controlled
- Firmware updates with binary hash and signature verification recorded — the cyber-supply-chain evidence the new regulatory regimes will demand
- PLC / ECU program changes captured separately — Stuxnet-class risk surface
- Calibration events** with NIST / NMI / ILAC standards traceability, pre/post deviation, next-due date
Operational State
- Set-point and threshold changes — every alarm trip-point, every control-loop setpoint, every master-caution gate, with prior / new value and approver
- Alarm events with severity (Info / Warning / Alarm / Critical / Emergency mirroring ARINC 661 master caution levels)
- Operator acknowledgement of alarms with action taken (investigation, maintenance request, operational adjustment, shutdown)
- Commands issued to devices — every actuation event with operator identity, authentication method, target value, execution status
- Anomaly events — deviations from baseline detected by ML model, statistical method, or rule-based system
Health & Maintenance Integration
- Health indicators** — 0-100 scores per device or asset with trend (improving / stable / degrading / rapid degradation) and remaining useful life estimates
- Telemetry aggregates** — hourly / shift / daily / weekly summary statistics (min, max, average, p50, p95, p99, sample count, anomaly count) per channel
- Maintenance triggers** derived from telemetry that automatically link into your work-card workflow (predictive degradation, scheduled hours, anomaly threshold breach, operating hours exceeded, calibration due)
Compliance & Forensic
- Compliance attestations** — AD compliance for aviation, AS9100 quality, ISO 17025 lab accreditation, with cert reference and validity date
- Data integrity checks** — gaps, timing anomalies, sequence breaks, late arrivals; missing data is itself audit-bearing
- Cybersecurity events** — auth failures, firmware verification failures, unauthorised commands, intrusion attempts; forensic timeline that survives local-log tampering
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What we don’t replace
We do not replace your FADEC, your engine ECU, your HUMS, your tech log, your MEL workflow, your defect-deferral system, your AD compliance tracker, your maintenance management system, your engine condition trend monitor, your FOQA analysis platform, your work-card generator, or your ARINC bus instrumentation. Every one of those is a multi-million-dollar investment that your engineers know intimately. Tx-Rails sits underneath via one of three integration modes — hash-only attestation, atomic dual-write, or change-data-capture observation — and produces continuous cryptographic evidence that those systems’ state changes are real, ordered, and unalterable after the fact.
This is the underlay positioning. It is the only positioning that survives a Director of Engineering’s first question: “do I have to retrain my staff?”
Connecting: The four modes
| Mode | What customer does | Metadata fidelity | Use case |
|---|---|---|---|
| A. Hash-only | Nothing; tx-rails computes row-hash from CDC | 22 / 31 fields, no semantic intent | Low-stakes flows where the audit just needs “this row existed at time T” |
| B. CDC observation | Adds Debezium / equivalent to their DB; nothing in the app | 25–27 / 31 (CRUD intent from CDC; user/role IF the customer’s table has audit columns) | Mid-stakes flows; most existing apps that already write created_by / modified_by to their rows |
| C. Gateway-mediated | Routes API traffic through the tx-rails gateway; app unchanged | 30 / 31 (gateway sees the HTTP method, the JWT, the body — derives semantic intent from path + verb) | High-value flows; new app deployments where touching the network edge is cheap |
| D. SDK / atomic dual-write | App calls tx-rails alongside its own DB write | 31 / 31 with explicit semantic intent | The very-high-value flows where the customer wants explicit REVERSAL / CORRECTION / RESTATEMENT tagging |
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Why this matters now
Three forces converge on aviation operators:
The cyber-supply-chain mandate.** New aviation cybersecurity regulations (EASA Part-IS in EU, FAA NPRM 22-04 in US, evolving CASA guidance in AU) require auditable evidence that firmware deployed to safety-critical avionics is the version the manufacturer signed. Spreadsheet evidence won’t pass. Local log evidence is destroyed by the breach you’re trying to detect. Continuous cryptographic logging to an independently verifiable substrate does pass — and tx-rails is that substrate.
The cross-border ownership of fleet data.** Aircraft cross sovereign borders by definition. The maintenance record that an Australian operator generates needs to be readable, decades from now, by a Saudi buyer’s CAA, an EASA inspector, an FAA designee — none of whom have any reason to trust the operator’s internal audit. Tx-Rails anchors slab-Merkle commitments to a public DLT (Hedera) so the records’ integrity is verifiable without trusting the operator at all.
The shrinking SMS audit window.** Safety Management Systems audits used to be annual. They are sliding toward continuous. The operator that can answer *”prove that every alarm acknowledgement in the last six months was real and complete”* with a cryptographic verification rather than a spreadsheet attestation has a fundamentally different cost structure than one that can’t.
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Architecture, briefly
Off-chain: Raw 1Hz–1000Hz sensor readings, ARINC bus frames, ECU diagnostic codes, video — all stay in your time-series database, your historian, your DFDAU storage. We do not duplicate.
On-chain: The audit-significant events derived from that stream — commissioning, calibrations, set-point changes, firmware updates, alarms, acknowledgements, commands, anomaly events, health indicators, maintenance triggers, compliance attestations, cyber events.
Anchored: Every block of audit events is committed to a Byzantine-fault-tolerant validator mesh, periodically aggregated into Merkle roots, and anchored to a public DLT for cross-jurisdictional verifiability.
The on-chain audit volume is bounded. The cost of running this against a fleet of 200 aircraft is dominated by validator node operation, not by the telemetry volume.
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What we’d ask of you to start
A single-aircraft pilot. Read the audit-significant events out of your existing MRO and HUMS systems via change-data-capture; flow them through tx-rails for one platform, one operating cycle. At the end you have a tamper-evident audit trail of every alarm, every firmware change, every calibration, every command issued — verifiable cryptographically against a public anchor. We then have a real conversation about what that’s worth to your next SMS audit.
Tx-Rails Smart Contracts for Aviation Manufacturing
Self-executing part-lifecycle, sub-tier supplier, MRO, and Airworthiness Directive contracts — co-signed by every party who needs to be on the audit record, fired automatically when the regulator-relevant conditions are met.
Aviation manufacturing runs on agreements where every party — OEM, sub-tier supplier, MRO, operator, regulator — must be cryptographically present on the audit record. A turbine blade leaves the manufacturer with an EASA Form 1; it’s machined by a tier-2 with an AS9100-certified process; it’s assembled by an LRU integrator with FAI sign-off; it’s delivered to the airline under a Power-by-the-Hour leasing contract; it’s retired through an AD-compliant scrap process witnessed by a designated airworthiness inspector. Every one of those handovers is a multi-party agreement today. Today, execution and reconciliation lag the underlying events by weeks and the audit trail is a federation of incompatible spreadsheets across half a dozen organisations.
Tx-Rails now turns those agreements into **on-chain smart contracts that execute themselves** the moment their conditions are provably met. Part-lifecycle handovers, sub-tier payment milestones, hour-by-hour engine leasing, AD-compliance retrofit execution, cyber-supply-chain firmware promotion — all running as multi-party transactions with conditional escrow and IIoT-triggered release rules, with each automated step recorded on the same ledger as the AD itself.
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What you can now automate
Part-lifecycle handover with airworthiness verification
A line-replaceable unit ships from the OEM to an operator. The shipment is meaningless without the EASA Form 1 (or FAA 8130-3 / CASA Form 1) cert; the operator can’t install the part until the cert is verified; the operator can’t pay until the part is provably installed; the OEM can’t recognise revenue until the airline accepts.
With tx-rails: the entire chain is a **multi-party transaction** between OEM, freight forwarder, customs (where required), and operator. The payment sits in **escrow** at dispatch. A **release condition** is attached: “airworthiness cert verified at receipt” — predicate matches against a compliance-attestation action recording the cert reference and the verifying engineer. When the operator’s GRN action records receipt with cert-PASS, a **workflow rule** matches it, releases escrow to the OEM, and updates the operator’s part-life-on-aircraft tracker via the dimensional-accounting hook. If the cert fails verification, the rule auto-opens a dispute and the part is held in QUARANTINE inventory status with cryptographic evidence of the rejection.
Power-by-the-Hour engine leasing
An engine OEM leases a complete engine package on a $X-per-flight-hour basis with FBO-level performance guarantees. Today: monthly invoicing based on operator self-reported flight hours, with reconciliation against ACARS / FOQA / FDR data quarterly, leading to systematic under-billing the OEM eats and disputes the operator banks against.
With tx-rails: the engine’s IIoT telemetry aggregates flight-hours per shift / day / month directly to the ledger. A **workflow rule** matches each aggregate, computes the per-hour charge, and auto-fires an invoice. A second rule monitors the engine’s health-indicator score and, if degradation exceeds the contractual SLA threshold (e.g., EGT margin loss > 25°C over 100 hours), auto-fires a performance-credit action against the OEM in the operator’s favour. Both parties see the same telemetry, the same rules, the same payments, the same dispute history.
Tier-2 / tier-3 supplier milestone settlement
A $22M turbine-disc machining program splits into tier-2 raw forgings ($6.8M), tier-2 heat-treat ($1.4M), tier-2 finish machining ($9.2M), and the OEM’s own assembly + inspection ($4.6M). Each tier is contractually paid against specific milestones (FAI completed, first-article approved, batch shipped, AS9100 audit pass). Today: each tier waits 60–90 days past their delivery for the upstream tier to pay; supply-chain finance bleeds into working-capital cost across the chain.
With tx-rails: each tier’s payment is a **commitment group** co-signed by the upstream tier, the receiving tier’s QA, and the OEM’s program office. The escrow auto-releases against the upstream-tier’s GRN-with-inspection-PASS event, and the next-tier’s escrow auto-funds from the released funds — cascading payment compresses to same-block settlement once all parties land their signatures.
AD-compliance retrofit with regulator co-sign
An Airworthiness Directive issues against a specific lot of components on a specific aircraft type. The operator has 90 days to retrofit. Today: thousands of operator-by-operator phone calls, regulator status spreadsheets updated quarterly, and uncertainty about which aircraft remain non-compliant past the deadline.
With tx-rails: the AD is a **multi-party transaction** between OEM (source of the corrective action), regulator (the issuing CAA / FAA / EASA), and every operator with affected aircraft. Each retrofit is a **commitment** signed by the operator’s PIC engineer + the OEM’s tech-rep + a designated airworthiness representative. The compliance-attestation action recording the retrofit on each aircraft fires a workflow rule that auto-releases the regulator’s compliance-confirmation event, auto-updates the AD’s status on that aircraft, and (where applicable) auto-fires the OEM’s warranty-credit action to the operator. The regulator sees retrofit progress in real time, by tail number, cryptographically provable.
Cyber-supply-chain firmware promotion
A FADEC firmware update needs to flow from OEM → operator → fleet. Today: the OEM publishes a bulletin, operators schedule the update during planned maintenance, and the audit trail of which aircraft received which firmware version is owned by the operator’s MRO system — visible to the OEM only via quarterly fleet-status reports.
With tx-rails: the firmware update is a **multi-party transaction** with commitment groups for OEM cyber-supply-chain officer, operator engineering, MRO technician, and (where required) the airworthiness regulator. The firmware-update action records the binary hash and signature verification status; a **workflow rule** matched on signature-verification-FAILED auto-fires a cyber-security-event action and freezes the corresponding aircraft from RTS until the discrepancy is resolved. Every promotion of firmware to flight-status has cryptographic evidence of OEM signature verification, operator authorisation, and (where applicable) regulator notification.
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Why this matters
Airworthiness is the load-bearing concept.** Every smart contract in this domain hinges on a verifiable airworthiness assertion — cert verified, AD complied, signature-verified, FAI approved. The audit trail of those assertions is what regulators audit; the smart-contract model puts the assertion on-chain with cryptographic provenance and lets the payment infrastructure follow it automatically.
The supply chain is multi-tier and multi-jurisdiction by definition.** An engine assembled in Derby uses blades cast in Sheffield, forgings from Cincinnati, software from Bangalore, and is sold to operators in 80+ countries. No single party owns the full audit chain today. The smart-contract version lets every tier sign its own actions on the same ledger, and lets the operator (and the regulator) verify the whole chain without trusting any individual party.
Sustainment economics depend on real-time evidence. Engine OEMs increasingly sell sustainment, not engines — and sustainment economics are catastrophic if billing lags reality. The PbtH smart-contract version doesn’t depend on quarterly reconciliation; it bills against the same telemetry the operator’s pilots see in the cockpit, with the same audit trail the FOQA team examines.
Cyber-supply-chain mandates are coming.** EASA Part-IS, FAA NPRM 22-04, CASA’s evolving guidance — every aviation regulator is moving toward demanding cryptographic evidence of firmware provenance and update authorisation. The smart-contract layer makes that compliance native, not bolted-on.
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What this doesn’t replace
We don’t replace your PLM, your MES, your AS9100 quality system, your AD-compliance tracker, your maintenance management system, your FOQA / HUMS / engine-condition-monitoring platforms, your ARINC-bus instrumentation, your part-traceability database, your contracts repository, or your treasury system. Tx-Rails sits **underneath** all of them as the multi-party-aware execution substrate. The smart contracts run as on-chain logic against events your existing systems already produce; payments post back via the dimensional-accounting layer; the AD-compliance evidence is recorded alongside the operational record — visible to the regulator, the OEM, and the operator from the same ledger, without trusting anyone’s internal IT.
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Indicative Pricing
[Contact ITOTCCA→]john@itotchaincloud.com.au
The Aviation Backend uses …
Tx-Rails is based on a combination of
the original Byzantine Fault Tolerant
Tendermint Project (no mining)
supervised by ITOTCCA’s own ChubbyChecker
Tx-Rails — Built by IT/OT Chain & Cloud Australia (ITOTCCA). Sydney · London.