DSM: Decentralized State Machine - Solving the "Double Spend Problem" without the need for global consensus, unlocking a new paradigm

TL;DR:
Hereafter, I present DSM (Decentralized State Machine), a cryptographic system model that enforces double-spend impossibility and device unclonability without global consensus or centralized trust. Security derives from atomic bilateral commitments, hardware-bound identities (DBRW), and cryptographic tripwire proofs. Formal definitions, a complete symbol index, system architecture, and game-based security theorems are provided, demonstrating double-spend resistance and physical unclonability in both online and offline settings.


Notation and Symbol Index

Symbol Definition
H Collision-resistant hash function
\lambda Security parameter (bits)
D_i Device i
\mathcal{D} Set of all devices
\mathcal{R} Set of all bilateral relationships
S_n State at transition n
C_{i,j} Hash chain for relationship (D_i, D_j)
r_i SMT root of device D_i
R_n Fresh entropy for state n
\text{SMT}_n Sparse Merkle Tree root at state n
\sigma_i Signature by device D_i
G Genesis state
b_i MPC entropy contribution from participant i
\text{DBRW} Dual-Binding Random Walk binding function
K_n Hardware+environment binding at step n

Preliminaries and System Model

Cryptographic Primitives

  • H: \{0,1\}^* \rightarrow \{0,1\}^\lambda, collision-resistant hash function, requiring \Omega(2^{\lambda/2}) operations for collision.
  • HMAC with unforgeability under chosen-message attack.
  • Sparse Merkle Trees (SMT) with O(\log n) membership and position binding proofs.

System Architecture

DSM Network:

  • Devices: \mathcal{D} = \{D_1, ..., D_n\}, each maintaining independent local state.
  • Bilateral relationships: \mathcal{R} = \{(D_i, D_j): i \neq j\}, each with its own hash chain.
  • No global state: Only pairwise state synchronization.

State Structure:
Each D_i maintains:

  • Genesis state S_0^i (via MPC ceremony)
  • Relationship chains \{C_{i,j}\}
  • SMT root r_i binding all relationship heads

Threat Model

  • Adversary is PPT, can corrupt devices and extract all state/keys, control network scheduling/partition, and attempt physical cloning.
  • Cannot break cryptographic assumptions, cannot forge hardware characteristics, cannot violate device physical uniqueness.

Security Goals

  1. Double-spend resistance: No device can create two conflicting valid states.
  2. Clone detection: Cloned states on new hardware cannot produce valid transitions.
  3. Causal finality: All state transitions are immediately final.
  4. Offline security: All properties hold without network connectivity.

Balance Model in DSM

Balances do not exist as global records across devices or any central ledger. Each device only tracks the state of relationships it has directly participated in.
Tokens are like physical cash: transfer requires bilateral, atomic state updates.

  • Lost devices lose tokens permanently.
  • No other device can reconstruct or duplicate balances except via valid, linked state transitions.

Transaction Modes and State Synchronization

Bilateral Mode (Offline Transactions)

A bilateral transaction between D_i and D_j requires:

  1. Co-presence of both devices.
  2. Mutual signing:
    T_{bilateral} = \{\text{op}, \sigma_i, \sigma_j, S_i^{new}, S_j^{new}\}
  3. Immediate finality.
  4. Atomic state update on both chains.

Bilateral transactions are the ground truth, immune to network manipulation.


Unilateral Mode (Online, via Storage Nodes)

If D_j is offline, D_i posts a state transition to decentralized storage:

  1. Inbox:
    \text{Inbox}_j = H(\text{Genesis}_j \,\|\, \text{DeviceID}_j)
  2. Asynchronous delivery:
    \text{Post}_{i \to j} = \{S_i^{new}, \text{op}, \sigma_i, \text{SMT}_i, \text{timestamp}\}
  3. Synchronization: D_j retrieves and validates transactions upon reconnection.

State Precedence Invariant:
If D_i posts unilateral transitions for D_j, then before any new bilateral transaction:

\text{LastBilateral}(i,j) < \text{UnilateralPending}(i,j) \implies \text{RequireSync}(j)

This blocks double-spend windows: bilateral updates are forbidden until pending unilateral posts are synced (on a per relationship basis). Relationships without pending online updates can proceed with bilateral (offline) transactions unaffected.


Genesis, Bootstrap, and Device Identity

Blind MPC Genesis Protocol

Participants: Small randomized group consisting of:

  • Storage nodes \{S_1, S_2, ..., S_k\} (economically incentivized to participate)
  • User device D_{new} (requesting genesis)
  • Group size: Typically n = 5-7 nodes, requiring t = 3-4 honest participants

Protocol Steps

  1. Storage Node Contributions: Each storage node S_i provides:

    b_i = H(\text{local\_random}_i \,\|\, \text{timestamp}_i \,\|\, \text{node\_id}_i)
  2. Device Contribution: User device provides:

    b_{device} = H(\text{user\_seed} \,\|\, \text{DBRW}(\text{device}))
  3. MPC Genesis Computation: Randomized group computes:

    G = H(b_1 \,\|\, b_2 \,\|\, ... \,\|\, b_t \,\|\, b_{device})

    where t-of-n threshold ensures unbiasable output with t honest storage nodes.

  4. Device-Specific Hardware Binding: Final device identity:

    G_{device} = H(G_{master} \,\|\, \text{DBRW}(\text{device}))

Economic Incentive Model

Storage Node Rewards: Participation in genesis ceremonies is part of storage nodes’ reward mechanism, ensuring:

  • Reliable availability for new device onboarding
  • Economic motivation for honest participation
  • Distributed capacity across the network
  • No bootstrap coordination bottleneck

Security Properties

Each device derives a unique sub-genesis:

G_{device_i} = H(G \,\|\, \text{DeviceID}_i \,\|\, \text{DBRW}_i)

Isolation Guarantee: Compromise of one device does not affect others due to hardware-specific binding in the genesis derivation.


Source of Truth: Storage and Mandatory Online Genesis/Anchor Verification

In DSM, the decentralized storage network is the sole source of truth for every Genesis and recovery (invalidation) anchor.
No device, peer, or user may initialize an identity, onboard a contact, or recover an account by referencing only a local cache, offline backup, or peer-provided data.
It is mandatory that every device retrieves the canonical Genesis or recovery marker directly from decentralized storage during initialization or recovery.
This guarantees that all cryptographic lineage for an identity is globally unique, tamper-evident, and immune to forgery or local replay attacks.

Why is this mandatory?

  • Local or peer-based Genesis/recovery references are untrustworthy, since they can be forked, stale, or maliciously fabricated.
  • Only by fetching from storage can a device verify that the anchor it uses is the globally accepted and recognized state.
  • This enforcement prevents any attack where a user is tricked into onboarding with a forged Genesis, or where an adversary attempts to recover or fork an identity offline.
  • All subsequent protocol operations including adding contacts are secure only if they originate from a canonical anchor proven by direct storage retrieval.

Recovery and Forward-Only Invalidation

DSM recovery is strictly forward-only and cryptographically auditable.
When a device is lost, compromised, or intentionally invalidated, the recovery process operates as follows:

  1. Anchor publication:
    The device (or recovery agent) publishes an invalidation marker to decentralized storage, committing to the last valid state S_k:
    I(S_k) = H(S_k \,\|\, \text{recovery\_tag})
  2. New state creation:
    The next valid state is anchored to the invalidation marker with fresh entropy:
    S_{new} = H(I(S_k) \,\|\, R_{new})
  3. Protocol rule:
    All future transitions for this identity must chain to S_{new}; any attempt to continue from the pre-recovery branch is automatically rejected by honest peers and storage nodes.
  4. Irreversibility and auditability:
    Once published, I(S_k) permanently severs the link to any compromised or lost state, ensuring the new chain is both cryptographically and publicly anchored. The recovery event and all subsequent transitions are transparently auditable by any party.

This guarantees that recovery and invalidation are both globally visible and mathematically irreversible, enforced by the decentralized storage network as the ultimate arbiter of identity lineage.


Why Honest Devices Cannot Be Fooled by Cached or Offline State

In DSM, offline operation is fully supported devices are not required to publish every state transition online in real time.
However, the validity of any branch is determined by its cryptographic lineage to the canonical anchor in decentralized storage (Genesis or recovery marker), not by local SMT roots or cached state alone.

1. Cache/Offline State Is Never Sufficient for Global Validity

  • Devices can cache and operate on local state for offline bilateral operations.
  • But: Whenever a device or counterparty needs to onboard, recover, or verify the legitimacy of a chain (such as when adding a contact, restoring a device, or rejoining the network), it must verify the root anchor by querying decentralized storage.
    • If a device’s local SMT root, cache, or chain tip is not chained from the current storage anchor, it becomes instantly and mathematically invalid.
    • No amount of local history or bilateral agreements can override a mismatch with the global anchor.

2. Detection on Sync or Critical Protocol Actions

  • If two devices operate entirely offline after a recovery marker is published, they might temporarily “believe” their state is valid.
  • The first time any of them, or any counterparty they interact with, syncs with storage (or initiates a protocol event requiring anchor verification), any transition or chain not rooted in the up-to-date anchor is:
    • Automatically and cryptographically rejected,
    • Mathematically proven to be an invalid fork.

3. No “Silent Fork” Attack Is Possible

  • DSM does not require publishing every transition online.
  • But: At any point where global consistency is required (onboarding, adding contacts, recovery, state resync), all honest devices enforce that their current branch must be a descendant of the storage anchor.
  • Devices that continue on an invalid or pre-recovery fork will find their transitions rejected the moment any verification against storage is required.

4. Local SMT Roots Are Trustless Only with Canonical Anchor

  • Updating the SMT root locally has no effect unless it is chained from the canonical anchor in storage.
  • This is why storage anchors are mandatory for identity initiation, recovery, and any action requiring trust outside the purely local context.

In summary:
DSM’s design ensures that offline, cached, or bilateral-only state is always subordinate to the canonical anchor in storage.
All global protocol actions enforce this—guaranteeing finality, anti-forking, and recovery without requiring constant online publication, but always with mathematically provable convergence to the network’s single source of truth.


Formal Security Theorems

Theorem 1: Atomic Interlock Tripwire (Double-Spend Impossibility)

Each state:

S_{n+1} := H(S_n \,\|\, \text{op}_{n+1} \,\|\, \text{SMT}_{n+1} \,\|\, R_{n+1})

Adversary attempts to produce two valid next states (S_{n+1}, S'_{n+1}) for the same S_n, both accepted by honest peers.

  • If \text{SMT}_A = \text{SMT}_B, only operation or entropy differs; SMT commits to same balances, double-spend impossible.
  • If \text{SMT}_A \neq \text{SMT}_B, SMT inclusion proofs for peers are inconsistent and immediately detected; device is rejected (“tripwire”).
  • Any successful double-spend reduces to a hash collision, violating $H$’s collision resistance.
\text{Adv}_{\mathcal{A}}^{\text{DS}}(\lambda) := \Pr[\mathcal{A} \text{ wins}] \leq \text{negl}(\lambda)

Q.E.D.


Theorem 2: DBRW Unclonable Identity

S_n := H(S_{n-1} \,\|\, \text{op}_n \,\|\, \text{SMT}_n \,\|\, R_n \,\|\, K_n)

where

K_n := \text{HMAC}(\text{ENV}_n, \text{HW}_n)

Clone can only succeed if K'_{n+1} = K_{n+1}, but K_n binds to hardware and environment. Any deviation yields K'_{n+1} \neq K_{n+1}, so honest peers reject the transition. Even with all past keys, future K values remain unpredictable due to forward walk and entropy evolution.

\text{Adv}_{\mathcal{A}}^{\text{CD}}(\lambda) := \Pr[\mathcal{A} \text{ wins}] \leq \text{negl}(\lambda)

Q.E.D.


Corollary: Causal Finality

No double-spend or clone is possible. All state transitions are causally final and device identities are unique and non-replayable. Only cryptographically provable history is valid; there is no way to undo or fork history, online or offline.


If everything was built on top of DSM and all devices were to install it locally, we would have a fully quantum resistant as well as other attacks like phishing (Nothing to steal - no static keys) Internet tomorrow as well as offline payments with true finality. No need to keep dumping billions of dollars into a solution. Its already here.

I didn’t follow how this avoids double spends for offline transactions. Can you explain that?

1 Like

It’s well documented here:

I appreciate your inquiry. If you are still left with gaps in the logic after reading through the full paper, then feel free to reach out again, and I will be happy to acknowledge the gaps if there is any and fill them in here in that scenario, I would see that it would make sense to. It’s just that this could very quickly become a lot bigger bigger than a TL;DR in a hurry if I re-explain information that is available in the reference document.

Thank you

1 Like

I just wonder where are you going to get users to get 100,000 TPS.

TPS is a meaningless number because you can run anything at any TPS if you have enough computational power. This is CS101

So what, is solving the double spend problem without consensus 202? Keep your eye on the prize.

Let me clarify something that’s getting missed: DSM doesn’t have the same overhead as blockchains. There’s no global consensus, no mining, no staking, and no mempools. Synchronization isn’t continuous — it’s event-based and minimal. You literally pick up where you left off, per relationship.

Each connection between users maintains its own bilateral hash chain. That means:

  • If I transact with you, that’s our shared chain.
  • If I transact with someone else, it’s a completely separate chain.
  • There’s no bleedover. No waiting. No shared bottleneck.

So yes, the TPS benchmarks are accurate, because each relationship is self-contained and state transitions are locally verifiable. And that’s the whole point: removing consensus removes the bottleneck. It’s one of the most painful parts of blockchain architecture, and we removed it. Cleanly. Mathematically.

I agree with @keyneom that this doesn’t sound like it solves the double spend problem. If Alice’s wallet is in two places at the same time, say US and China, and she simultaneously does a local transaction with counterparties Bob and David in US and China (respectively), there is no way to know at that instant (limited by speed of light) that there is nowhere else in the world that her wallet is actively trying to spend the same money.

This theoretical framework shows us that there must be some mechanism to come to global consensus on which of those two transactions are valid after they have both been signed, and it shows that it is impossible (because physics) to protect against double spends without some kind of global information coordination system.

1 Like

Her wallet cannot exist in two places simultaneously—it’s device-bound by design. That’s not what he said; you’re making a separate claim altogether, which is fine. However, please review the main paper thoroughly—ideally several times—before commenting further. These concepts are novel and require careful consideration. Everything you’re questioning has already been documented clearly, so I kindly ask that you take the necessary time to read and fully grasp the material before responding. You seem to do this on all my posts and I’m kind of exasperated by it, so I’m just going to have to ignore your comments from now on.

There are way too many garbage papers out there to read 119 pages digging for an answer, especially when your summaries in various places seem to just ignore the real problem entirely.

You cannot prevent data from being copied, though you can try to reduce the risk of it with trusted execution environments (which have been broken repeatedly in history). Perhaps with non-copyable, single use, quantum keys you could achieve such a thing, but that is purely theoretical at this point. If you are just suggesting the use of TEEs, then I recommend stating that clearly in the various summaries you have provided, because if you accept TEEs as secure then a lot of problems get much easier.

There is a Dev Docs that’s more high-level and directly related to the SDK and also how to change your way of thinking which the paper doesn’t go into and I think is quite helpful.

There’s a Pokémon trading example in the repo too: Pokemon Trade Example on DSM

Core is fully implemented and well tested. Right now I’m just finishing up the decentralized storage nodes.

DRAM-Based Dual-Binding Random Walk (DBRW)

A Technical Summary


Problem Solved:

Modern apps can be “cloned” simply by copying their files or VM/container images, bypassing software-only or enclave-only checks.
DBRW’s solution:
By tying together a device’s unique DRAM timing fingerprint and its specific execution environment, DBRW ensures the app only runs where it was originally installed.

How It Works:

  1. Random Walk Memory Interrogation

    • Generate a forward-only hash chain of length k.
    • At each step, use the chain to select a pseudorandom DRAM address and record its read timing.
    • These timing variations form a hardware fingerprint that’s infeasible to predict on another device.
  2. Environment Fingerprinting

    • Collect j contextual values—installation path, inode numbers, namespace/container IDs—that are unique to this VM or container instance.
  3. Dual-Binding

    • Combine the DRAM fingerprint and the environment data into one hash:
      H_{\text{bind}} = H\bigl(\mathrm{WalkHash}\,\|\,\mathrm{EnvParams}\bigr)
    • Neither component can be validated without the other.
  4. Forward-Only Hash Chain

    • Every step feeds into the next in a one-way chain, preventing any rollback or replay of earlier states.

Key Theorems:

Cross-Device Security:

P[\text{success}] \;\le\; 2^{-\alpha \cdot k}\;+\;\mathrm{negl}(\lambda)

where

  • \alpha = entropy per DRAM measurement
  • k = walk length
  • \lambda = security parameter

Same-Device Partition Security:

P[\text{success}] \;\le\; 2^{-\beta \cdot j}\;+\;\mathrm{negl}(\lambda)

where

  • \beta = entropy per environment parameter
  • j = number of environment parameters

Proof Insights:

  • Cross-Device: An attacker must either guess all k DRAM timings (probability 2^{-\alpha \cdot k}) or break the hash chain (negligible).
  • Same-Device Partition: DRAM patterns carry over, so success hinges on matching all j environment attributes (probability 2^{-\beta \cdot j}) or finding a hash collision.

Critical Performance Metrics:

  • False acceptance rate: 2.1 \times 10^{-11} (cross-device), 5.7 \times 10^{-10} (same-device)
  • Verification time: 25 – 45 ms (imperceptible to users)
  • Network: Fully offline—no connectivity required
  • Robustness: Accurate across 0–70 °C and ±10 % CPU load
1 Like

Drop-In Cloning Protection for Any System Technical Paper: Dual-Binding Random Walk (DBRW)

FULL PAPER :memo::point_up_2:

DBRW is a portable, cryptographic anti-cloning protocol that prevents both same-device (container-based) and cross-device (hardware-based) cloning attacks. It securely binds applications to their physical hardware and execution context without requiring any secure enclave or online validation. Simple to integrate into any app, blockchain, or runtime — DBRW is a drop-in defense layer for tamper resistance, state continuity, and rollback prevention across all platforms.

There should be a way to shrink the paper :slight_smile: Einstein’s paper on the photoelectric effect was just one page, and he won a Nobel Prize for it. Every additional page exponentially decreases the number of people who will read the paper :slight_smile:

thats why its easier to just show them and they try it for themselves :wink:. thanks so much for your insights!

Reductio ad Absurdum:

Impossibility of Undetected Double-Spend in DSM


Suppose, for contradiction, that an adversarial device A could successfully double-spend or fork its state chain undetected within DSM. Let A have an established contact B, with prior chain tip S^A_n. Consider two possible attacks:

  • Case 1: Unilateral (Inbox) Double-Spend.
    A attempts to submit two distinct next states S^A_{n+1} and S'^A_{n+1} to B's inbox, each reflecting a conflicting transfer or operation. However, the DSM verification protocol requires that B must validate that any new state S_{n+1} references the unique, cryptographically committed S_n as prev_hash. Since the hash chain is forward-only and collision-resistant, B will detect any divergence: if both S^A_{n+1} and S'^A_{n+1} claim the same predecessor but encode different transitions, their hashes will differ and at least one will be mathematically invalid under chain verification. Thus, only a single valid successor can exist for each state.

  • Case 2: Bilateral (Offline) Double-Spend.
    A attempts to co-sign conflicting bilateral transactions with two different peers (B and C) based on the same prior state S^A_n. The DSM bilateral protocol requires that both A and the counterparty co-sign a pre-commitment C_\mathrm{pre} = H(H(S_n) \| op \| \Delta \| e_{n+1}) before any state advances. Any attempt by A to create two conflicting C_\mathrm{pre} from a single S_n would require either forging a counterparty’s signature or producing a hash collision—both cryptographically infeasible.

In both cases, the attempt to double-spend leads to a contradiction with the cryptographic invariants of DSM: hash chain continuity, signature validity, and Merkle proof inclusion.

Reductio ad absurdum:
Any device that attempts to equivocate will have its state rejected by honest participants and cannot proceed.
Therefore, undetected double-spending or state forking is mathematically impossible in DSM.

Cryptographic Stateless Stitching (12pages)

thanks for spotting this. saves time

Or did he? :thinking:

:nerd_face::open_book::point_left: READ!:point_down:

NO TEES. You guys are too much :upside_down_face:

That’s debatable. You’ve explicitly talked about recognizing unique fingerprints of your running environment to enforce that a program keeps running on the same device. If you don’t need to trust the environment, why would you do that? What’s the problem with switching to another device? What’s a user supposed to do if he/she buys a new phone? Regular crypto wallets work on any device, regardless of trust, as long as they can provide valid signatures to the rest of the network.

PS: I’m not going to read your paper, it has too much information that doesn’t answer my questions. You can’t ask me to process that amount of signals and noises, I’d rather stay answerless. But it’s fair for me to publicly challenge your idea on this forum.

1 Like

It’s telling that such dismissals are made from anonymous accounts, so there’s no risk of personal reputation being tied to public statements that may soon be proven embarrassingly wrong. History is full of cautionary examples:

  • “Everything that can be invented has been invented.” ~ Charles H. Duell, US Patent Office, 1899 (apocryphal, but still infamous).

  • “There is no reason anyone would want a computer in their home.” ~ Ken Olsen, Digital Equipment Corporation, 1977.

  • “The horse is here to stay but the automobile is only a novelty.” ~ President of the Michigan Savings Bank, 1903.

Those who dismiss paradigm shifts without empirical refutation are remembered not for their insight, but for their shortsightedness. Anonymity only postpones accountability; it never erases it.

All you’re doing is legitimizing everything I’m posting. Every breakthrough invention in history has been met with exactly this kind of knee-jerk dismissal at first in fact, it’s practically a prerequisite for paradigm shift, as history proves time and again.

Yikes! I’ll better stop posting then!

1 Like