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the purported identity is valid Similarly, with a hacker s ability to spoof IP addresses, devices with firmware capable of mimicking MAC addresses, and just about any firewall s capability to NAT (Network Address Translation) IP addresses, how do you achieve certainty in the identity of a device to be granted access rights to another device on your secure network How much confidence do you have in the true identity of a person or device trying to gain access to your applications How much reliance are you willing to place on that identity being the true identity Keep in mind that your systems only see the digital username and whatever is presented as a digital credential. Anyone could be at the distant end trying to log in to your systems with stolen or guessed credentials. It is important to differentiate between the true identity of a device or person and a username as a representation of that identity. Do not confuse identity with any of the other elements in the matrix. Someone or something is simply purporting to be someone you want to deal with through your networks, computer systems, or applications by entering a username the system is supposed to recognize. Build your acceptance of any class of usernames on the up-front vetting of users and a process to issue unique usernames. There is a very low limit to how much confidence can be placed in the identity element by itself. If the syntax of your usernames is known, for example, then guessing one is made easier.

if f P R; otherwise;

and, for any A & O, I A inf oPA I f . The function I is a good rate function for the centered Gaussian measure P and the following large deviation principle holds: , for F closed in O: for G open in O: lim sup 1 Z log P p P F I F ; n n3I n 1 Z lim inf log P p P G ! I G : n3I n n

Copyright 1999 Gary McGraw and Edward Felten. All rights reserved. Published by John Wiley & Sons, Inc.

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In order to use Theorem 4.4.1 for studying the asymptotics of Q x , we have to make a scaling transformation rst: Q x P sup Zt t > x H P sup x Zt=x t > x H 1 P sup x Zt=x t=x > 1 H 1 P sup x ZT T > 1 P

A mid-Michigan radio call-in show receives a request for some Moody Blues songs. The caller has a strong Scottish-sounding brogue and identifies himself as Sean. He says he is calling on a cell phone from his limousine as he s traveling from Detroit to Grand Rapids. The DJ, a young woman, is excited about talking with a celebrity, a superstar (namely, Sean Connery) and plays the songs the caller requested; in the interludes she talks about her favorite bigscreen flicks in which he starred. There is only one problem; that day Sean Connery was somewhere in the British Isles. To give the DJ some credit, it did sound an awful lot like him, but it simply wasn t him. It was a classic case of mistaken identity. The credential that was presented the sound of a voice with a distinctive brogue was not sufficient to be certain of the identity of the caller.

T!0 t!0 t!0 t!0

CHAPTER SECTIONS: 1 / 2 / 3 / 4 / 5 / 6 / 7 / 8 / 9 / 10 / 11 / 12 / 13

PG ;

where G is the union over T ! 0 of the open sets GT fo: ZT o T > 1g: Now, the lower bound part of Theorem 4.4.1 yields that lim inf

In 1, we pointed out that there is no such thing as 100-percent security. Where security is concerned, there is a fundamental tradeoff between power (functionality) and security. Java attempts to be both powerful and secure. Java is trying to manage complex security issues proactively. Despite such efforts, some flaws in the model still need to be addressed. Functionality and security will always exist in an inverse relationship. Currently, Net users choose functionality over security. Java designers are attempting to increase security without paying too high a price in functionality.

Identification is all about lifting the mask and finding the unique person or device hidden under it. A person s identity those things that make one person unique from everyone else begins with parentage and is refined by culture and life experiences.

P G ! I G :

It remains to determine I G . First, note that I G inf T!0 I GT . Thus, we have to minimize k f kR over all paths f P R GT . In general, such questions lead to dif cult variational problems. For the particular set GT , however, the solution is extremely simple. Indeed, by the reproducing kernel property (4.7), f P GT D h f ; G T ; iR > 1 T : 4:8

... Preface -- 1 -- 2 -- 3 -- 4 -- 5 -- 6 -- 7 -- 8 -- 9 -- A -- B -- C -- Refs Front -- Contents -- Help

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