Download Advances in Biometrics for Secure Human Authentication and by Tyler Justin Speed PDF

By Tyler Justin Speed

''Supplying a high-level assessment of the way to guard your company's actual and intangible resources, Asset safeguard via defense expertise explains the simplest how one can enlist the help of your staff because the first defensive position in safeguarding corporation resources and mitigating protection hazards. It experiences key subject matters surrounding desktop security--including privateness, entry controls, and probability management--to help Read more...

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By Tyler Justin Speed

''Supplying a high-level assessment of the way to guard your company's actual and intangible resources, Asset safeguard via defense expertise explains the simplest how one can enlist the help of your staff because the first defensive position in safeguarding corporation resources and mitigating protection hazards. It experiences key subject matters surrounding desktop security--including privateness, entry controls, and probability management--to help Read more...

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Extra info for Advances in Biometrics for Secure Human Authentication and Recognition

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This optimization of threat variants is best achieved by experimenters that have significant creativity and experience. The attack variants must be in line with the type of attacker that it is being evaluated against. The optimization process consists of continually refining each variant to finally produce the most successful attack. One of the challenges with biometric testing is that it often requires a large number of live subjects for it to be statistically significant. The testing is hence usually expensive and time-consuming.

For example, if the fingerprint sensor also uses finger pulse detection, the hacker can build a pulse generator into a fake finger. Therefore, the best method for vitality detection is to use a characteristic that is distinctive to each individual, and not easily available to an adversary for copying. Such a unique characteristic is another biometric. For example, a multimodal biometric system can be built that combines a strong biometric, such as a fingerprint with another biometric (possibly, a weaker one) that is difficult to acquire covertly, such as face thermogram.

Another component of software integrity relates to algorithmic integrity. Algorithmic integrity implies that the software should be able to handle any input in a desirable manner. As an example of an algorithmic loophole, consider a matching module in which a specific input value, say X0, is not handled properly and whenever X0 is input to the matcher, it always outputs a match (accept) decision. This vulnerability might not affect the normal functioning of the system because the probability of X0 being generated from a real-biometric data may be negligible.

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