Whitepaper

Title: A Method for Protecting Blockchain Integrity Against Stolen Private Key Transactions

Abstract
This paper introduces a method to safeguard blockchain systems from fraudulent transactions caused by stolen private keys. It employs multi-rotation key derivation and cryptographic validation, logging key hashes on-chain to ensure only valid transactions are accepted. Unlike static methods, this approach integrates dynamic key management directly into blockchain consensus, providing strong defenses against brute-force attacks and unauthorized access. The solution is consensus-agnostic, compatible with Proof of Work (PoW) and other mechanisms, and supports critical applications such as financial operations and decentralized identity systems, ensuring security, integrity, and trust.

Background
Blockchain systems rely heavily on private keys to generate cryptographic signatures, which are used for transaction validation. However, private key compromise remains a significant vulnerability, enabling attackers to generate valid, impersonated signatures for unauthorized transactions. Current solutions, such as multi-signature (multi-sig) wallets and threshold cryptography, attempt to mitigate these risks by requiring multiple signatures or splitting private key control across parties. While effective in some cases, these methods introduce complexity and do not fully prevent fraudulent transactions from being included in a block. This invention addresses these gaps by introducing a secure key rotation and validation mechanism.

Technical Solution

Key Derivation Algorithm and Brute Force Mitigation

This invention utilizes a hierarchical deterministic (HD) wallet structure, based on the BIP32 standard, to derive keys while incorporating multi-rotation capabilities to enhance security. Each rotation derives a sequence of four child keys from the parent key using the Key Derivation Parameter (KDP) as the derivation index. The KDP, such as a PIN or password, acts as an additional cryptographic input, ensuring that every derived key is uniquely tied to the KDP. This enhances security by making brute force attacks computationally infeasible without the correct KDP.

  1. First Rotation: Specifies the next key to use.
  2. Second Rotation: Produces the address of the key two rotations ahead.
  3. Third Rotation: Produces the address of the key three rotations ahead.

These rotations ensure that the addresses for rotations two and three are stored on-chain, while the corresponding keys are not retained, minimizing exposure to attacks.

Even if an attacker possesses the private key and chaincode, brute-forcing the derivation process remains computationally infeasible due to the vast search space and computational intensity of deriving each key. Assuming the attacker uses highly optimized hardware capable of performing 1 billion derivations per second, it would still take approximately 8.63×10428.63 \times 10^{42} years to brute force all possible key combinations across the four rotations. This multi-rotation structure exponentially increases brute force difficulty, providing a robust security advantage.

Key Rotation Process

Log Structure

Each transaction includes a subset of fields that form the key log. These fields ensure the integrity of the key rotation process and are used during transaction validation. Specifically, they allow nodes to verify that each transaction aligns with the expected sequence of key rotations. The log contains the following fields:

  1. twice_prerotated_key_hash: Ensures continuity by matching the prerotated_key_hash of the subsequent record. This provides a cryptographic linkage that nodes validate during consensus, ensuring unauthorized or inconsistent key rotations are rejected.
  2. prerotated_key_hash: Matches the hashed public key of the next record, confirming that the correct key derivation process has been followed.
  3. public_key: Serves as the primary identifier for deriving and verifying key hashes, linking the transaction to the cryptographic key used for signing.

By validating these fields in sequence, the system ensures that every transaction adheres to the established key rotation protocol. This prevents unauthorized transactions by creating a verifiable chain of cryptographic dependencies. Any deviation from this sequence would result in transaction rejection during consensus.

Verification Rules

*Additional record trigger conditions

  1. One of the output addresses in the outputs field of the transaction, which is a list of UTXOs, does not match the prerotated_key_hash of the same transaction, indicating that the transaction sends to a key outside the key chain. In this case, a second transaction (Record 3) must be present during consensus validation or in the mempool during block generation validation. This confirming transaction must have a single UTXO entry in the outputs field with an address matching prerotated_key_hash, and its relationship field must be blank.
  2. The relationship field of a transaction is not blank. In this case, a confirming transaction (Record 3) must also have a single UTXO entry in the outputs field with an address matching prerotated_key_hash, and its relationship field must be blank.

Conditional Verification Diagram

Log Branching

Log branching enables the creation of a new set of rotations that interoperate with another user's key log. This process ensures cryptographic continuity while establishing a secure connection between two independent logs. The branching process involves the following steps:

  1. Generating New Rotations:

    • A new set of rotations is derived using an additional bit of data unique to the new branch along with the user's Key Derivation Parameter (KDP).
  2. Encryption of Rotations:

    • The newly generated rotations are encrypted using the latest public key of the other user's log.
  3. Inclusion in Relationship Field:

    • The encrypted rotations are included in the relationship field of the initiating user's key event.
    • The other user is notified that encrypted data is available for them because the outputs address of the key log matches the hash of the other user's latest public key.
  4. Confirmation Key Event:

    • A second key event is created to confirm the branching. This confirmation event includes:
      • A blank relationship field.
      • A single UTXO entry in the outputs field that matches the prerotated_key_hash.
  5. Accepting the Log Branch (User 2):

    • The second user generates a new set of key rotations using their KDP and a date specific to the requesting user.
    • This information is encrypted and placed on User 2's key log in a key event.
    • User 1 is notified that the branch has been accepted because the key log entry uses the hash of the other user's latest public key.

Validation of Log Branching:

Security Benefits of Log Branching:

Log Branching Process

Consensus Integration

Consensus Integration

Transaction Validation Scenarios

Two-Record Scenario (No Third Record Required)

Field Record 1 (on-chain) Record 2
twice_prerotated_key_hash hashed_pubkey_3 hashed_pubkey_4
prerotated_key_hash hashed_pubkey_2 hashed_pubkey_3
public_key (hash) hashed_pubkey_1 hashed_pubkey_2
Key Relationships
  1. Record 1 (on-chain):
    • outputs.address matches prerotated_key_hash (hash_2).
    • twice_prerotated_key_hash (hash_3) matches prerotated_key_hash in Record 2.
  2. Record 2:
    • outputs.address matches prerotated_key_hash (hash_3).
    • No third record required as all validation rules are satisfied.

Three-Record Scenario (Third Record Required)

Field Record 1 (on-chain) Record 2 Record 3
twice_prerotated_key_hash hashed_pubkey_3 hashed_pubkey_4 hashed_pubkey_5
prerotated_key_hash hashed_pubkey_2 hashed_pubkey_3 hashed_pubkey_4
public_key pubkey_1 pubkey_2 pubkey_3
outputs (address) hashed_pubkey_2 hashed_pubkey_not_in_log hashed_pubkey_4
relationship (Blank) metadata_encrypted (Blank)
Key Relationships
  1. Record 1 (on-chain):
    • outputs.address matches prerotated_key_hash (hashed_pubkey_2).
    • twice_prerotated_key_hash (hashed_pubkey_3) matches prerotated_key_hash in Record 2.
  2. Record 2: (highlighted above)
    • outputs.address does not match prerotated_key_hash (hashed_pubkey_not_in_log), triggering the need for a confirming transaction.
    • relationship is not blank (metadata_encrypted), triggering the need for a confirming transaction.
  3. Record 3:
    • outputs.address matches the prerotated_key_hash in Record 2 (hashed_pubkey_4).
    • Ensures cryptographic continuity.

Summary of Scenarios

Security Features

  1. Key Rotation Integrity

    • Ensured by consensus. Nodes validate transactions against the on-chain key log to verify proper key rotation. This prevents fraudulent or tampered key rotations from being accepted.
  2. Replay Attack Prevention

    • Transactions cannot be reused or manipulated, as they are hashed (SHA-256), and the hash is signed using a key consistent with the key log entries.
  3. Brute Force Mitigation

    • The Key Derivation Parameter (KDP), such as a PIN or password, is required for key rotation. This exponentially increases the difficulty of brute force attacks, as the attacker must correctly derive all four child keys in sequence to compromise a single rotation.
    • Key rotations leverage a hierarchical deterministic (HD) wallet structure, deriving four child keys per rotation. The large search space provided by this multi-rotation structure makes brute force attacks computationally infeasible.
  4. Compromised Node Mitigation

    • Nodes broadcasting invalid key logs are identified and rejected during consensus, ensuring the integrity of the blockchain.
  5. Safeguards

    • Transaction data is hashed using SHA-256, and these hashes are signed and secured within the blockchain using merkle roots and block headers, preventing retroactive tampering.
    • Key log data is redundantly stored across all nodes, ensuring availability and integrity.
    • No fallback mechanisms exist; transactions failing cryptographic checks are outright rejected.
    • Validation is performed both during transaction inclusion in blocks and at the consensus layer, ensuring robust protection against invalid transactions.

Potential Applications

Edge Cases and Challenges

  1. Network Forks
    • Forks could create temporary inconsistencies, akin to other blockchain systems.
  2. Latency
    • Ensuring timely validation under high transaction volumes may require optimized node performance.

Conclusion
This invention provides a robust mechanism for enhancing blockchain security against private key compromise. Compared to traditional methods that rely on static measures or external monitoring, this solution uniquely integrates dynamic key rotation and pre-rotated key validation, directly leveraging blockchain consensus to ensure enhanced protection and scalability. By combining these features, it prevents fraudulent transactions while enabling high scalability in environments with significant transaction volumes. This design ensures compatibility with existing infrastructure, making it particularly appealing for enterprise-level applications. These advantages position it as a significant improvement over current systems like KERI and traditional HD wallets, offering enhanced

Glossary

YadaCoin Open Source License (YOSL) v1.1

Copyright (c) 2017-2025 Matthew Vogel, Reynold Vogel, Inc.

This software is licensed under YOSL v1.1 – for personal and research use only.
NO commercial use, NO blockchain forks, and NO branding use without permission.

For commercial license inquiries, contact: info@yadacoin.io

Full license terms: see LICENSE.txt in the YadaCoin repository.