mhhfive - I can see how that would work. If the user has to speak a different word or phrase each time, that would thwart efforts by attackers to break in using a recording.
Voice recognition software doesn't focus on one aspect of a voiceprint, but it analyses and calculates match potentials for many variables, including voice tone/pace/etc/etc. That's why it's hard to fool voice verification software and why voice verification software is tolerant of users with colds.
What do you mean? How could intruders get around bio-identification to, say, break into a bank system?
I think the translation from analog to digital is the weak point... a person's voice must be converted to a digital signal at some point for computer systems to verify it, so if that digital signal can be intercepted, then it's possible for that voiceprint password to be jeopardized. The nice part about voice recognition verification is that these systems can accept multiple spoken passphrases -- which can change each time a person logs in.
So while a fingerprint is just a fingerprint, a voiceprint has the extra ability for the user to change some part of the verification -- such as having the user speak dynamically generated (and different each time) passphrase.
Ultimately, it's hard to see how there could ever be a completely foolproof system -- as every password system ultimately has human beings controlling it, and social engineering hacks are generally the way bad guys gain access....
Mitch - "But what if you sprain your finger playing softball? That will change how you interact with the keyboard."
The potential for one biometric identification system to be challenged by a transient physical condition is why the newer authentication systems are moving toward multiple factors of biometric identification - multimodal biometrics. If the identification system combines characteristics of physical movement analysis (like keyboarding or gate/cadence), visual identification (iris, facial), with voice analysis, then the identification can handle short-term disturbances like sprained fingers.
Jason - I don't think a cold, or stress, would invalidate voice signature identification. There is an intrinsic quality to a voice that it really hard to change. It is much easier to recognize an actor by their voice than their face or movements because of the intrinsic qualities of a voice. Actors can put a speaking accent on their voice, but it doesn't change the intrinsic identifying features of their voice.
What i think would take a really good algorithm would be to spoof a voice - particularly if the system kept track of the 140 points of authentication and required a vocal response to a CAPTCHA.
Voice recognition security is really amazing but I'm trying to understand what is it that the system finds unique in a voice, is it the tone, is it the pace?? If so can this not be copied by some unauthorized person?
The computer or bio-reading device has to convert the analog scan to digital information. That is not being well taken care of. The bad guys just send the digitized scan information to the bank, the same way the computer would.
Kim Davis - DARPA has been working for a while on biometrics like keyboard interaction. I don't know when we're going to see results, but the idea that you sit down and start using a device, and it recognizes you immediately (or not) is appealing.
But what if you sprain your finger playing softball? That will change how you interact with the keyboard.
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Social media has been with us for a decade -- but employer policies and the law are anything but firm about the most appropriate usage of this powerful tool.
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M2M: Rise of the Machines? Not Yet David Weldon In the 1970 science fiction thriller Colossus: The Forbin Project, two giant supercomputers from the United States and Soviet Union secretly join forces to take control of the collective nuclear might of the two countries. In the film, the two machines discover each other's existence, communicate back-and-forth, share their collective data, and cut their human creators out of the process. It is the ultimate example of machine-to-machine communications, or M2M. CLICK FOR MORE
M2M: Rise of the Machines? Not Yet David Weldon In the 1970 science fiction thriller Colossus: The Forbin Project, two giant supercomputers from the United States and Soviet Union secretly join forces to take control of the collective nuclear might of the two countries. In the film, the two machines discover each other's existence, communicate back-and-forth, share their collective data, and cut their human creators out of the process. It is the ultimate example of machine-to-machine communications, or M2M. CLICK FOR MORE
