| Title | Mathematical and Algorithmic Prevention of Biometric Data Leaks |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Kuznetsova, Nataliya M., Karlova, Tatyana V., Bekmeshov, Alexander Y., Kirillova, Elena A., Mikhaylova, Marianna V., Averchenkov, Andrey V. |
| Conference Name | 2021 International Conference on Quality Management, Transport and Information Security, Information Technologies (IT&QM&IS) |
| Keywords | authentication, Automation, biometric authentication, biometric encryption, biometrics (access control), data storage, Encryption, Identification, industrial plants, Information security, Metrics, Object recognition, pubcrawl, Random access memory, resilience, Resiliency, Scalability |
| Abstract | Biometric methods are the most effective and accurate authentication methods. However, a significant drawback of such methods is the storage of authentication information in clear text. The article is devoted to solving this problem by means of symmetric encryption method and the method of dividing the memory space. The method of symmetric encryption ensures confidentiality during storage and transmission of biometric characteristics, the method of dividing the memory space provides an increase of information security level during processing of biometric characteristics. |
| DOI | 10.1109/ITQMIS53292.2021.9642819 |
| Citation Key | kuznetsova_mathematical_2021 |
Mathematical and Algorithmic Prevention of Biometric Data Leaks