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World Congress 2023 • Aug 11, 2023

Crypto-secure Data Management with In-Database Blockchain

Wei Hu

Perimeter walls fail against rogue insiders. Stop data tampering by embedding immutable blockchain ledgers directly into your relational database using standard SQL.

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#1 about 5 min

Securing databases against unavoidable data manipulation threats

Storing critical information inside database ledgers mitigates risks of illicit modifications bypassing standard security controls.

#2 about 3 min

Simplifying blockchain implementation with integrated database features

Building distributed ledger technology into existing infrastructure accelerates adoption without demanding widespread application overhauls.

#3 about 2 min

Creating immutable blockchain tables using standard SQL syntax

Appending a single keyword during table creation automatically enforces cryptographic chaining and blocks record deletions.

#4 about 4 min

Detecting unauthorized physical storage modifications using checksum validation

Scanning table contents against existing cryptographic checks identifies direct alterations executed on the underlying storage media.

#5 about 2 min

Verifying data integrity independently with open-source cryptographic formulas

Publishing verification formulas publicly enables engineers to audit system integrity independently of proprietary software logic.

#6 about 3 min

Publishing cryptographic digests externally to surface silent database coverups

Broadcasting hash outputs to external platforms generates a decentralized audit trail preventing undetectable entire-system rollbacks.

#7 about 2 min

Implementing end-user cryptographic signatures to prevent credential abuse

Requiring individual keys for inserting records establishes accountability against data insertions originating from compromised network passwords.

#8 about 2 min

Tracking mutable data updates with blockchain-secured historical logs

Storing flashback capabilities alongside immutable logs provides a secure timeline of mutations applied against conventional tables.

#9 about 5 min

Boosting developer productivity via consolidated converged database architectures

Handling multi-format workloads alongside native graphs and documents removes deployment overhead traditionally accompanying polyglot microservice layers.

#10 about 3 min

Adopting JSON relational duality functions for maximum schema flexibility

Treating underlying structures interchangeably as relational tables and JSON documents addresses shifting storage requirements interactively.

#11 about 4 min

Summarizing integrated database blockchain capabilities and audience queries

A brief overview of blockchain integration precedes an interactive evaluation concerning table reorganizations and digest reconstruction.

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September 24, 2026 · 12:50–13:20

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