A Study on the Security Vulnerabilities of Fuzzy Vault Based on Photoplethysmogram

Autor:	Sang Uk Shin, Kwantae Cho, Ju Young Kim
Rok vydání:	2018
Předmět:	Key generation Authentication Biometrics business.industry Computer science Kalman filter Signal law.invention law Photoplethysmogram Computer vision Artificial intelligence Radar business Correlation attack
Zdroj:	Lecture Notes in Electrical Engineering ISBN: 9789811313271 MUE/FutureTech
DOI:	10.1007/978-981-13-1328-8_46
Popis:	Recently, various studies have been conducted on secret key generation and authentication using biosignals. PPG signals in biosignals are easy to measure, and signals generated from the inside of the body are difficult to leak. However, since the UWB radar can collect heart rate information, it is possible to measure the PPG signal remotely. Among the secret key sharing methods using PPG signals, the fuzzy vault method is vulnerable to correlation attack. Therefore, the predicted signal is generated using the Kalman filter of the leaked PPG signal, and unlock the vault using the generated predicted signal. In this paper, we generate a prediction signal from a PPG signal through a Kalman filter and use it to unlock the vault. Also discuss the considerations for using fuzzy vault safely.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::0b02b83de1e7e9a38dd0f05bdda22e8d https://doi.org/10.1007/978-981-13-1328-8_46 Zobrazit plný text záznamu