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Data checksum techniques include cryptographic hash functions (e.g., SHA-256, MD5) to generate unique fingerprints for files. Error-detecting codes like CRC32 validate data integrity during transmission. Blockchain-based checksums anchor data to immutable ledgers, ensuring tamper-proof verification. Merkle trees enable efficient validation of large datasets by hashing subsets recursively. Checksums are widely used in software distribution, financial records, and archival systems to detect unauthorized modifications.
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