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N OT E In the past, many surnames assigned to people dealt with conferring identity. John, Jacob s son, for example, would become John Jacobson, while Peter, the local baker, might become known as Peter Baker, and Edward, a stonemason, would become Edward Mason. Similarly, a man named Geoffrey who lived in London in very early times and might have moved to a small village elsewhere in Britain would ve become known as Geoffrey of London or simply Geoffrey London. Charles, who lived by the brook, was eventually know as you guessed it Charles Brook. This simplicity of identity worked well in local areas and sufficed when people traveled only short distances.

Web users, including one of the authors' 89-year-old grandmother, need to understand the risks of using a Java-enabled browser. Developers of Java code that lives and works on the Internet need to keep security in mind when they are writing programs. System administrators need to think carefully about how mobile code, including Java, impacts the security of the systems they run. Business people need to understand what Java security risks are so they can make informed business decisions based on fact and not fiction.

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asymptotics of the busy period containing the origin (for a detailed presentation, see Norros [15]). It can be deduced from the stationarity of the system that, as regards large deviation asymptotics, instead of considering any busy period of length greater than T that covers 0, we can consider one that extends from 0 to T . Denote by Q* s; t the set of paths o P O such that o u o s > u s for all u P s; t . If o P Q* s; t , then the storage process V o has a busy period that contains the interval s; t . We apply once again the scaling trick to obtain P Z P Q* 0; T P ZT > t Vt P 0; T P ZTt > Tt Vt P 0; 1 P T H Zt > Tt Vt P 0; 1 Z P 1 H P Q* 0; 1 : T Now, Theorem 4.4.1 yields (we skip all details concerning open and closed sets) that the distribution tail of the length B of the busy period containing the origin is lim 1 log P B > T I Q* 0; 1 ; 4:11

or P B > T $ exp I Q* 0; 1 x2 2H : We have I Q* 0; 1 k f k2 =2, where f has the meaning of being ``the most typical R path that gives a busy period from 0 to 1.'' The function f seems to be unknown, as is its R-norm. The latter is obviously larger than 1, since all functions g P Q* 0; 1 satisfy g 1 ! 1, and the reasoning in Eq. (4.8) shows that their norms are larger than kG 1; kR 1. On the other hand, the path w, which is between 0 and 1 a straight line from 0 to 1, and ``most typical'' elsewhere, is in the closure of Q* 0; 1 (it produces a nongenuine ``busy period'' where the storage remains empty). The squared norm of w is known to be kwk2 c2 H 2H 1 2 2H B H 1 ; 2 2H 1 ; R 2 2

4:12

As you can see, Java security issues are multifaceted. This book has useful information for all four groups, whose interests overlap in many ways. Java security is a hot topic, but that does not make it an easy one. By itself, computer security is not wellunderstood. Throw Java into the mix and things become even murkier. There is much confusion and misinformation floating around about Java and security. Beware of snake oil, impossible claims, and consultants who pretend to have all the answers. Also be aware that major vendors are just as capable of misinformation as fly-by-night companies. Skepticism, Rene Descartes' 300-year-old philosophical insight, is strangely relevant to computer security at the turn of the millennium. In fact, skepticism turns out to be an excellent strategy. Ask hard questions; you might be surprised by the answers.

It is impossible to look at the paper identity credentials half a nation or world away, so credentials in which some level of trust can be placed must be used to create digital identities in the Web environment.

which is very close to 1 for H > 1 but diverges as H 3 0 (see Norros [16]). Thus, 2 for practical purposes in teletraf c context, one can use the approximation P B > T % e T

2 2H

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