Individualization of Anonymous Identities Using Artificial Intelligence (AI)
Title | Individualization of Anonymous Identities Using Artificial Intelligence (AI) |
Publication Type | Conference Paper |
Year of Publication | 2020 |
Authors | Bronzin, T., Prole, B., Stipić, A., Pap, K. |
Conference Name | 2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO) |
Date Published | sep |
Keywords | additional personal information being, anonymous identities, anonymous identity, artificial intelligence, Artificial Intelligence (AI), authorisation, biometric encryption, biometric footprint, biometric identity, biometrics (access control), blockchain, but still anonymous, communication, Computer vision, COVID-19, cryptography, data privacy, Fingerprint recognition, human body measures, human-computer interaction, identity anonymization, individualization, Metrics, pubcrawl, Regulation, reliability, Resiliency, Scalability, specific personal characteristics, Standards, stereo image processing, unique identity |
Abstract | Individualization of anonymous identities using artificial intelligence - enables innovative human-computer interaction through the personalization of communication which is, at the same time, individual and anonymous. This paper presents possible approach for individualization of anonymous identities in real time. It uses computer vision and artificial intelligence to automatically detect and recognize person's age group, gender, human body measures, proportions and other specific personal characteristics. Collected data constitutes the so-called person's biometric footprint and are linked to a unique (but still anonymous) identity that is recorded in the computer system, along with other information that make up the profile of the person. Identity anonymization can be achieved by appropriate asymmetric encryption of the biometric footprint (with no additional personal information being stored) and integrity can be ensured using blockchain technology. Data collected in this manner is GDPR compliant. |
DOI | 10.23919/MIPRO48935.2020.9245156 |
Citation Key | bronzin_individualization_2020 |
- data privacy
- unique identity
- stereo image processing
- standards
- specific personal characteristics
- Scalability
- Resiliency
- Reliability
- Regulation
- pubcrawl
- Metrics
- individualization
- identity anonymization
- Human-computer interaction
- human body measures
- Fingerprint recognition
- biometric encryption
- Cryptography
- COVID-19
- computer vision
- communication
- but still anonymous
- blockchain
- biometrics (access control)
- biometric identity
- biometric footprint
- authorisation
- Artificial Intelligence (AI)
- Artificial Intelligence
- anonymous identity
- anonymous identities
- additional personal information being