http://dbpedia.org/ontology/abstract
|
Private biometrics is a form of encrypted … Private biometrics is a form of encrypted biometrics, also called privacy-preserving biometric authentication methods, in which the biometric payload is a one-way, homomorphically encrypted feature vector that is 0.05% the size of the original biometric template and can be searched with full accuracy, speed and privacy. The feature vector's homomorphic encryption allows search and match to be conducted in polynomial time on an encrypted dataset and the search result is returned as an encrypted match. One or more computing devices may use an encrypted feature vector to verify an individual person (1:1 verify) or identify an individual in a datastore (1:many identify) without storing, sending or receiving plaintext biometric data within or between computing devices or any other entity. The purpose of private biometrics is to allow a person to be identified or authenticated while guaranteeing individual privacy and fundamental human rights by only operating on biometric data in the encrypted space. Some private biometrics including fingerprint authentication methods, face authentication methods, and identity-matching algorithms according to bodily features. Private biometrics are constantly evolving based on the changing nature of privacy needs, identity theft, and biotechnology. needs, identity theft, and biotechnology.
, Biometric Template Protection bezeichnet e … Biometric Template Protection bezeichnet eine Klasse von Verfahren zum Schutz der Merkmalsdaten bei der biometrischen Personenerkennung. Anders als bei herkömmlichen biometrischen Erkennungsverfahren werden bei Biometric Template Protection die in der Einlernphase (Enrolment) ermittelten biometrischen Merkmalsdaten (Templates) nicht als Referenzdaten gespeichert. Stattdessen werden aus den Merkmalen geschützte Referenzdaten (Protected Templates) generiert und gespeichert. Diese lassen keine Rekonstruktion der Merkmale zu, ermöglichen aber trotzdem die Überprüfung, ob ein zur Authentifizierung erfasstes biometrisches Merkmal (Vergleichsmerkmal) ähnlich genug zum eingelernten Merkmal ist.hnlich genug zum eingelernten Merkmal ist.
|
http://dbpedia.org/ontology/wikiPageExternalLink
|
http://www.scholarpedia.org/article/Cancelable_biometrics +
, https://www.webopedia.com/TERM/E/equal_error_rate.html +
, https://standards.ieee.org/develop/wg/BOP.html +
, http://conradsanderson.id.au/lfwcrop/ +
, https://fidoalliance.org/ +
, http://www.technovelgy.com/ct/Technology-Article.asp%3FArtNum=82 +
|
http://dbpedia.org/ontology/wikiPageID
|
14971322
|
http://dbpedia.org/ontology/wikiPageLength
|
41503
|
http://dbpedia.org/ontology/wikiPageRevisionID
|
1108231269
|
http://dbpedia.org/ontology/wikiPageWikiLink
|
http://dbpedia.org/resource/API +
, http://dbpedia.org/resource/Machine_learning +
, http://dbpedia.org/resource/Payload +
, http://dbpedia.org/resource/Homomorphic +
, http://dbpedia.org/resource/Error_correction_code +
, http://dbpedia.org/resource/Person +
, http://dbpedia.org/resource/Neural_network +
, http://dbpedia.org/resource/Multiple_Independent_Levels_of_Security +
, http://dbpedia.org/resource/Information_security +
, http://dbpedia.org/resource/MD5 +
, http://dbpedia.org/resource/Cryptosystem +
, http://dbpedia.org/resource/Encryption +
, http://dbpedia.org/resource/Linear_search +
, http://dbpedia.org/resource/Computational_complexity_theory +
, http://dbpedia.org/resource/Cryptographic +
, http://dbpedia.org/resource/MySQL +
, http://dbpedia.org/resource/Linear_equation +
, http://dbpedia.org/resource/Key_management +
, http://dbpedia.org/resource/Datastore +
, http://dbpedia.org/resource/IPsec +
, http://dbpedia.org/resource/Ciphertext +
, http://dbpedia.org/resource/Time_complexity +
, http://dbpedia.org/resource/Key_%28cryptography%29 +
, http://dbpedia.org/resource/History_of_cryptography +
, http://dbpedia.org/resource/Floating-point_arithmetic +
, http://dbpedia.org/resource/Neural_networks +
, http://dbpedia.org/resource/Homomorphic_encryption +
, http://dbpedia.org/resource/Data_anonymization +
, http://dbpedia.org/resource/Passwords +
, http://dbpedia.org/resource/Face_recognition +
, http://dbpedia.org/resource/Polynomial_time +
, http://dbpedia.org/resource/Category:Information_privacy +
, http://dbpedia.org/resource/Operating_system +
, http://dbpedia.org/resource/Plaintext +
, http://dbpedia.org/resource/Authenticated +
, http://dbpedia.org/resource/Reverse-engineered +
, http://dbpedia.org/resource/Euclidean_distance +
, http://dbpedia.org/resource/Cryptographic_hash +
, http://dbpedia.org/resource/Application_layer +
, http://dbpedia.org/resource/SHA-512 +
, http://dbpedia.org/resource/Tamper_resistance +
, http://dbpedia.org/resource/Personally_identifiable_information +
, http://dbpedia.org/resource/Trusted_Computer_System_Evaluation_Criteria +
, http://dbpedia.org/resource/Tokenization_%28data_security%29 +
, http://dbpedia.org/resource/Feature_vector +
, http://dbpedia.org/resource/Cloud_computing +
, http://dbpedia.org/resource/Biometric +
, http://dbpedia.org/resource/Black_box +
, http://dbpedia.org/resource/Security +
, http://dbpedia.org/resource/Information_privacy_law +
, http://dbpedia.org/resource/Identity_management +
, http://dbpedia.org/resource/Implicit_authentication +
, http://dbpedia.org/resource/Biometrics +
, http://dbpedia.org/resource/Human_rights +
, http://dbpedia.org/resource/Convolutional_neural_network +
, http://dbpedia.org/resource/Encrypted +
, http://dbpedia.org/resource/Euclidean_Distance +
, http://dbpedia.org/resource/Privacy +
, http://dbpedia.org/resource/Matrix_norm +
, http://dbpedia.org/resource/Embedded_software +
, http://dbpedia.org/resource/Category:Biometrics +
|
http://dbpedia.org/property/wikiPageUsesTemplate
|
http://dbpedia.org/resource/Template:Reflist +
, http://dbpedia.org/resource/Template:Anchor +
|
http://purl.org/dc/terms/subject
|
http://dbpedia.org/resource/Category:Biometrics +
, http://dbpedia.org/resource/Category:Information_privacy +
|
http://www.w3.org/ns/prov#wasDerivedFrom
|
http://en.wikipedia.org/wiki/Private_biometrics?oldid=1108231269&ns=0 +
|
http://xmlns.com/foaf/0.1/isPrimaryTopicOf
|
http://en.wikipedia.org/wiki/Private_biometrics +
|
owl:sameAs |
http://www.wikidata.org/entity/Q864588 +
, http://de.dbpedia.org/resource/Biometric_Template_Protection +
, https://global.dbpedia.org/id/5264C +
, http://dbpedia.org/resource/Private_biometrics +
, http://sr.dbpedia.org/resource/%D0%91%D0%B8%D0%BE%D0%BC%D0%B5%D1%82%D1%80%D0%B8%D1%98%D1%81%D0%BA%D0%B0_%D0%BA%D1%80%D0%B8%D0%BF%D1%82%D0%BE%D0%B3%D1%80%D0%B0%D1%84%D0%B8%D1%98%D0%B0 +
, http://rdf.freebase.com/ns/m.03h3c1n +
|
rdfs:comment |
Biometric Template Protection bezeichnet e … Biometric Template Protection bezeichnet eine Klasse von Verfahren zum Schutz der Merkmalsdaten bei der biometrischen Personenerkennung. Anders als bei herkömmlichen biometrischen Erkennungsverfahren werden bei Biometric Template Protection die in der Einlernphase (Enrolment) ermittelten biometrischen Merkmalsdaten (Templates) nicht als Referenzdaten gespeichert. Stattdessen werden aus den Merkmalen geschützte Referenzdaten (Protected Templates) generiert und gespeichert. Diese lassen keine Rekonstruktion der Merkmale zu, ermöglichen aber trotzdem die Überprüfung, ob ein zur Authentifizierung erfasstes biometrisches Merkmal (Vergleichsmerkmal) ähnlich genug zum eingelernten Merkmal ist.hnlich genug zum eingelernten Merkmal ist.
, Private biometrics is a form of encrypted … Private biometrics is a form of encrypted biometrics, also called privacy-preserving biometric authentication methods, in which the biometric payload is a one-way, homomorphically encrypted feature vector that is 0.05% the size of the original biometric template and can be searched with full accuracy, speed and privacy. The feature vector's homomorphic encryption allows search and match to be conducted in polynomial time on an encrypted dataset and the search result is returned as an encrypted match. One or more computing devices may use an encrypted feature vector to verify an individual person (1:1 verify) or identify an individual in a datastore (1:many identify) without storing, sending or receiving plaintext biometric data within or between computing devices or any other entity. The pmputing devices or any other entity. The p
|
rdfs:label |
Biometric Template Protection
, Private biometrics
|