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Data checksum techniques for integrity verification include cryptographic hash functions (e.g., SHA-256, MD5) to generate unique fingerprints of data. Checksums detect unauthorized changes by comparing original and current hashes. For distributed systems, Merkle trees aggregate hashes of data blocks, enabling efficient verification of large datasets. Error-detecting codes (e.g., CRC32) add redundancy to data packets, while digital signatures (e.g., RSA, ECDSA) combine hashing with encryption for tamper-proof validation.
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