|
|
|
|
|
|
![]() |
#5 |
The only guys who wear Hawaiian shirts are gay guys and big fat party animals
|
BTW after reading the full 15 page paper, I learned that
the technique isn't as effective as you might think from the short article. Essentially it lets you classify all remote computers into about 50 groups. It's as though there were only 50 different fingerprints shared by everyone in the world. If the suspects's fingerprints are different from those at the scene of the crime you could say they didn't commit the crime. If they do match, they would also match 100,000,000 other people besides the suspect so it's not that useful. So it's not too much more useful than standard techniques we've used for a long time - classifying users by what browser they use, what operating system, etc. It just provides one more criteria to distinguish between groups of users. It's a criteria we might use in Strongbox, though. Currently Strongbox is only about 15,000 times accurate than something like Pennywize. Adding the skew factor multiplies that by 50, so it'll be 750,000 times more accurate. Actually that's not entirely true though, after making various adjustments it'll be maybe 300,000 times as accurate. |
![]() |
![]() |
Thread Tools | Search this Thread |
Display Modes | Rate This Thread |
|
|