Verifying Sequence Integrity In Cryptographic Hash Chains Without Central Servers
Sequence integrity without central servers relies on recursive hashing, peer witness signatures, and public anchoring to prevent history rewriting.
Merkle consistency proof
Meaning
Formal procedures establish that a new version of a log contains the exact history of the previous version without any deletions. A Merkle consistency proof uses cryptographic hashes to link the current state of a database to all its prior states. This allows an auditor to confirm that no records were removed or modified when the log was updated.
The proof remains valid as long as the underlying hash function is secure.
Append Mechanism
Data structures that only allow new entries ensure that the history of an organization is preserved. A Merkle consistency proof provides the mathematical evidence that a ledger is append-only. This prevents the retroactive alteration of board minutes or stock grants.
Audit Path
Auditing the log involves comparing the root hash of the old tree with a subset of hashes from the new tree. The Merkle consistency proof provides a compact way to prove that the old records are a prefix of the new records. This mechanism is efficient because it does not require the auditor to download the entire history of the company.
It reduces the time cost of a full audit by several orders of magnitude. Founders can use these proofs to demonstrate to potential buyers that the corporate records have been handled with integrity. The presence of these proofs makes the due diligence process faster and more reliable.
Temporal Trust
Continuity of the record over long periods depends on the regular generation of these audits. A missing Merkle consistency proof indicates a break in the chain of custody for the company data.