http://rdf.ncbi.nlm.nih.gov/pubchem/patent/BR-112020023826-A2

Outgoing Links

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assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_b6aa134989113887c9a52fc08b5b3522
classificationCPCAdditional http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04L9-3234
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classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04L9-30
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classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04L9-14
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http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04L9-00
filingDate 2019-05-24-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3a2bc50cd66609489f773c355e8a2833
publicationDate 2021-04-13-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber BR-112020023826-A2
titleOfInvention METHOD AND FIRST COMPUTER.
abstract METHOD AND FIRST COMPUTER. A method and system for performing a calculation for a scalar privacy preservation product is provided. A first part and a second part (for example, a first computer and a second computer) having a first vector and a second vector, respectively, can simultaneously determine the scalar product of the two vectors, without revealing any of the vectors to the other part. Each vector can be masked and then encrypted using a public key from an asymmetric key pair. Using homomorphic encryption operations, the scalar product of the vectors can be determined while the vectors are still encrypted. Each party can compare the scalar product or a value derived from the scalar product against a predetermined limit. As an example, two parties can make the scalar product to compare two biometric models expressed as vectors without revealing the biometric models to each other, preserving the privacy of the people corresponding to this biometric data.
priorityDate 2018-05-24-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

Incoming Links

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http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419474229

Total number of triples: 23.