Date Published: August 13, 2024
Planning Note (10/21/2024):
We've identified two issues that will be corrected in a future update/revision of this publication. For details, see the errata (potential updates) spreadsheet listed under "Documentation."
Author(s)
National Institute of Standards and Technology
Digital signatures are used to detect unauthorized modifications to data and to authenticate the identity of the signatory. In addition, the recipient of signed data can use a digital signature as evidence in demonstrating to a third party that the signature was, in fact, generated by the claimed signatory. This is known as non-repudiation since the signatory cannot easily repudiate the signature at a later time. This standard specifies ML-DSA, a set of algorithms that can be used to generate and verify digital signatures. ML-DSA is believed to be secure, even against adversaries in possession of a large-scale quantum computer.
Digital signatures are used to detect unauthorized modifications to data and to authenticate the identity of the signatory. In addition, the recipient of signed data can use a digital signature as evidence in demonstrating to a third party that the signature was, in fact, generated by the claimed...
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Digital signatures are used to detect unauthorized modifications to data and to authenticate the identity of the signatory. In addition, the recipient of signed data can use a digital signature as evidence in demonstrating to a third party that the signature was, in fact, generated by the claimed signatory. This is known as non-repudiation since the signatory cannot easily repudiate the signature at a later time. This standard specifies ML-DSA, a set of algorithms that can be used to generate and verify digital signatures. ML-DSA is believed to be secure, even against adversaries in possession of a large-scale quantum computer.
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Keywords
cryptography; digital signatures; Federal Information Processing Standards; lattice; post-quantum; public-key cryptography
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