Biometrics in Airports
asv108 writes: "Extremetech has an article by renowned security expert Bruce Schneier about why face recognition in public places such as airports is not a good idea." Schneier is being generous - real world results show that facial recognition systems are a lot less than 99.99% accurate even under laboratory conditions (people posing for the camera under ideal lighting).
For example - would you agree to putting your thumb on a fingerprint scanner at teh jetway entrance before you got on the plane? Retinal scan? The idea of the airlines having fingerprints for every passenger is pretty scary - but banks and many stores fingerprint when you use/cash checks. What level of this type of stuff will we accept? At what cost?
But then - the best biometric system in the world wouldn't have stopped the WTC attack - the hijackers were passengers with tickets and many used their real names anyway so.... I fear we'll find many liberties and the like given up in the name of security that really won't help that much.
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See:
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http://www.theregister.co.uk/content/4/21916.ht
These sigs are more interesting tha
There is also this vendor nuetral test
Bottom line is that this is merely a marketing opportunity for someone to get capital for products that are NOT ready for prime time.
This has actually been examined by the US Department of Defense (DoD) Defense Advanced Research Projects Agency (DARPA), which sponsored the Facial Recognition Vendor Test (FRVT) 2000, the test linked to above
Under live conditions in an uncontrolled enviroment, the best false detection rate (FDR) was 33 per cent, with a false acceptance rate (FAR) of ten per cent. This means that to detect 90 per cent of terrorists we'd need to raise an alarm for one in every three people passing through the airport.
I would say it is somewhat unacceptable.
"It is a greater offense to steal men's labor, than their clothes"
I don't mean to be picky here, but my math says that if 1 out of every 1,000,000,000 people going through is a terrorist, there will be 99,999 false alarms for every terrorist detected, not 9,999. Eh, what's an order of magnitude here or there, anyways...
The best way to predict the future is to invent it.
This thread is a little misleading. The prints required at banks (as far as I've seen, that is) are quick thumbprints using colorless ink (it reacts with a chemical on the paper they put it on, I assume.) There's a little ink pad by each teller window. It's as quick as signing a form, and no less intrusive, in my opinion. It's not like they take you into the back room for a full set of black, inky prints on one of those FBI cards.
Evil is the money of root.
I've seen several comments that "If the system gives a false positive only 1 in 1000 times, then it must be pretty good!". This demonstrates that many people have no clue about how to properly apply probability - what is called Baysian math.
.1 terrorist will be mis-identified. So we will assume that all 100 of the terrorists trip the alarm.
.9999, so we will assume that one innocent person gets fingered as a terrorist.
You have to start out with two probabilities that are based on the system: probability of a false positive (Pp) and probability of a false negative (Pn).
A false positive is mis-identifying a non-terrorist as a terrorist. Let us say that a collection of 1 million non-terrorists are run through a system, and it fingers one of them as a terrorist. That system has a Pp of 1 in a million, or 1E-6.
A false negative is mis-identifying a terrorist as not being a terrorist. Let us say that we run a thousand known terrorists through the system, and let us say that only one is not detected. Then this system has a Pf of 1 in a thousand, or 1E-3.
Now, that is ALL that you can say about a system. You cannot state the actual number of false positives vs. the number of false negatives in real use without an additional piece of data, the probability of any given person in a crowd being a terrorist, Pt. Let us say that in any given crowd, one in ten thousand people are terrorists (Pt = 1E-4). This may seem very high, but the lower Pt, the worse the system will perform, and I am heavily weighting this in favor of the face scanner.
Now, let's run a million random people through the system, and see what happens.
First, out of that million people, 1E6 * Pt = 1E6 * 1E-4 = 1E2 = 100 of them are terrorists. We would expect that of that 100 terrorists, 100 * Pf = 100 * 1E-3 =
Now, out of the remaining 999,900 people, we would expect the system to finger 999,900 * Pn = 99,900 * 1E-6 =
Now, we had 101 trips, of which 1 was false, so the odds that you aren't a terrorist given that you were fingered are just under a percent. That's given the assumption that the system mis-identifies innocent people only one in a million times, and assuming that one person in ten thousand is a terrorist. Increase the false positive rate by a factor of ten (one in one hundred thousand innocents gets fingered), and decrease the terrorist population to a tenth of what we assumed (one terrorist in one hundred thousand) and you now have roughly fifty-fifty odds that a person fingered by the system is innocent.
And that, people, is why systems like this don't work.
www.eFax.com are spammers
Get your facts staight!
None of the hijackers were known terrorists.
Some of them came form germany.
They lived here for many years as good citizens.
They even payed their "tv-fees", something
very unusual for students.
This might be cheaper and less inconvenient than implementing facial recognition systems, or at the very least would make an effective compliment to those systems to improve accuracy.
It may already be here.
If we do implement facial recognition systems, perhaps we could put in some anti-government abuse measures, like deleting the records of the passenger's faces after a successful flight.
-Rene
See you on the playa.