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A Scheme of Identity Authentication and Anomaly Detection using ECG and Beacon-based Blockchain

  • Journal of Internet of Things and Convergence
  • Abbr : JKIOTS
  • 2021, 7(3), pp.69-74
  • DOI : 10.20465/KIOTS.2021.7.3.069
  • Publisher : The Korea Internet of Things Society
  • Research Area : Engineering > Computer Science > Internet Information Processing
  • Received : July 10, 2021
  • Accepted : August 29, 2021
  • Published : September 30, 2021

Kim Kyung Hee 1 Keun-Ho Lee 1

1백석대학교

Accredited

ABSTRACT

With the recent development of biometric authentication technology, the user authentication techniques using biometric authentication are increasing. Various problems arised in certification techniques that use various existing methods such as ID/PW. Therefore, recently, a method of improving security by introducing biometric authentication as secondary authentication has been used. In this thesis, proposal of the user authentication system that can detect user identification and anomalies using ECGs that are extremely difficult to falsify through the electrical biometric signals from the heart among various biometric authentication devices is studied. The system detects user anomalies by comparing ECG data received from a wrist-mounted wearable device-type ECG measurement tool with identification and ECG data stored in blockchain form on the database and identifying the user's location through a beacon system.

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.