Biometrics: Identity Verification in a Networked World by Samir Nanavati

By Samir Nanavati

Biometrics applied sciences confirm id via features akin to fingerprints, voices, and faces. by means of supplying elevated defense and comfort, biometrics have started to determine common deployment in community, e-commerce, and retail purposes. This booklet presents in-depth research of biometrics as an answer for authenticating staff and buyers. best authority, Samir Nanavati explores privateness, safeguard, accuracy, process layout, person perceptions, and classes discovered in biometric deployments. He additionally assesses the real-world strengths and weaknesses of prime biometric applied sciences: finger-scan, iris-scan, facial-scan, voice-scan, and signature-scan. This available e-book is an important step in knowing and imposing biometrics.

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However, the odds against another page of text generating that same string would be extremely slim. ➣ One of the most interesting facts about most biometric technologies is that unique templates are generated every time a user presents biometric data. Two immediately successive placements of a finger on a biometric device generate entirely different templates. These templates, when processed by a vendor’s algorithm, are recognizable as being from the same person, but are not identical. In theory, a user could place the same finger on a biometric device for years and never generate identical templates.

Deploying a technology with a 2 percent FTE rate to 1,000 users means that approximately 20 users will be unable to verify biometrically. These FTE users will need to be authenticated in some fashion. If they revert to password authentication, then there are 20 accounts on the network that are just as susceptible to compromise as before biometrics were deployed. Furthermore, the remnants of a password system are still in place, meaning that an infrastructure must be in place for password maintenance and changes.

If the score resulting from template comparison exceeds the threshold, the templates are a match (though the templates themselves are not identical). Thresholds can vary from user to user, from transaction to transaction, and from verification attempt to verification attempt. Systems can be either highly secure or not secure at all, depending on their threshold settings. The flexibility offered by the combination of scoring and thresholds allows biometrics to be deployed in ways not possible with passwords, PINs, or tokens.

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