• 제목/요약/키워드: Adaptive junk data

검색결과 1건 처리시간 0.019초

Development of Efficient Encryption Scheme on Brain-Waves Using Five Phase Chaos Maps

  • Kim, Jung-Sook;Chung, Jang-Young
    • International Journal of Fuzzy Logic and Intelligent Systems
    • /
    • 제16권1호
    • /
    • pp.59-63
    • /
    • 2016
  • Secondary damage to the user is a problem in biometrics. A brain-wave has no shape and a malicious user may not cause secondary damage to a user. However, if user sends brain-wave signals to an authentication system using a network, a malicious user could easily capture the brain-wave signals. Then, the malicious user could access the authentication system using the captured brain-wave signals. In addition, the dataset containing the brain-wave signals is large and the transfer time is long. However, user authentication requires a real-time processing, and an encryption scheme on brain-wave signals is necessary. In this paper, we propose an efficient encryption scheme using a chaos map and adaptive junk data on the brain-wave signals for user authentication. As a result, the encrypted brain-wave signals are produced and the processing time for authentication is reasonable in real-time.