Sam Supakkul -- RE10.. - The University of Texas at Dallas
Sam Supakkul -- RE10.. - The University of Texas at Dallas
Sam Supakkul -- RE10.. - The University of Texas at Dallas
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A A selection selection p<strong>at</strong>tern p<strong>at</strong>tern captures<br />
captures<br />
an an an applic<strong>at</strong>ion applic<strong>at</strong>ion applic<strong>at</strong>ion independent independent independent selection selection selection scheme scheme<br />
scheme<br />
Weight-based quantit<strong>at</strong>ive selection<br />
altern<strong>at</strong>ives<br />
5 6 7<br />
234 1<br />
w(!)=0.5<br />
!<br />
Trustworthiness [Security]<br />
w(+)=0.5 w(++)=1.0<br />
+ ++<br />
Retina authentic<strong>at</strong>ion<br />
Fingerprint authentic<strong>at</strong>ion<br />
w=0.25+... w=0.5+...<br />
!<br />
Trustworthiness [Security]<br />
r(+!)=7 r(++!)=6<br />
+ ++<br />
Retina authentic<strong>at</strong>ion<br />
Fingerprint authentic<strong>at</strong>ion<br />
r=7+... r=6+...<br />
Rank Rank-based<br />
Rank based qualit<strong>at</strong>ive selection<br />
Weight Weight-based<br />
Weight Weight based<br />
Selection Selection = Highest Highest cumul<strong>at</strong>ive weight<br />
weight<br />
weight(Fingerprint) = w(!Trust.) x w(+) + …<br />
= 0.25 + …<br />
Widely used, but subjective<br />
Rank-based<br />
Selection = Best est cumul<strong>at</strong>ive ranking<br />
ranking<br />
rank(Fingerprint) = r(+!Trust.) + …<br />
= 7 + …<br />
Less subjective, but need a ranking scale
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