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Mapa mental

U3.15 Biometric Product Selection

Craig Parker Network Security Masters Degree Inglês

Conteúdo do mapa

U3.15 Biometric Product Selection

  1. Reliability of the sensor

    • Sensors users touch require more maintenance
      • More subject to vandalisim
    • Sensors that dont require direct contact are usually more robust
  2. Secuirty

    • In terms of errors
      • Best ERR
        • Iris Recognition has best ERR 1 in 1 mil
      • Lowest ERR
        • Speech and Signature
      • Medium ERR
        • Fingerprint
  3. Performance

    • How fast can ID&A be confirmed.
      • Response times of less than 5 seconds for 1 to 1 match
    • Identification systems are slower due to comparing samples to the database
  4. Cost

    • Retina & Hand geometry require specialist hardware
    • Speaker or face use off the shelf microphone/camera
    • More mature widely adopted tech is usually cheaper
  5. User acceptance

    • Protection of privacy
    • Health risks / monitoring
    • Hygene
    • Bad associations IE fingerprint and crime
  6. Life detection

    • Is the sample being taken from a live individual?
  7. Unsuitable users

    • There will always be a certain level of unsuitable users
      • not able IE, nor arms, eyes
      • not willing, religious reasons
  8. Size of the sensor

    • Large not good for mobile application
    • Chip sensors easily integrated

Informações

Descrição
Masters Degree Network Security Mapa Mental sobre U3.15 Biometric Product Selection, criado por Craig Parker em 23-11-2013.
Criado por
Craig Parker
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