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There is a tightrope to walk in this chapter You should understand the problems encountered with Java, so you know how things can go wrong, especially if you are charged with designing security-critical systems, administering a large number of Java users, or making business decisions that depend on Java security issues But it is not the intent of this book to give the bad guys a manual for invading your computer Although we discuss Java security problems, we hope you forgive the omission of details necessary to exploit these problems Just for the record, we do not believe in security by obscurity If we did, we would not have written this book at all However, we don't believe in publishing exploit scripts and aiding and abetting attacks by inexperienced would-be crackers, either.

series method in Abate and Whitt [2] (the algorithm Euler exploiting Euler summation), although alternative methods could be used The inversion algorithm is remarkably fast; computation for each time point corresponds simply to a sum of 50 terms We provide numerical examples in Examples 1762 and 1781 Example 1781 is of special interest, because the level-holding-time distribution there is Pareto In Section 175 we show that in some cases we can avoid the inversion entirely and treat much larger models We can avoid the inversion if we can assume that the level holding times are relatively long compared to the times of interest for control Then we can apply a single-transition approximation, which amounts to assuming that the Markov chain is absorbing after one transition Then the conditional mean is directly expressible in terms of the level-holding-time distributions.

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Alternatively, we can perform a two-transition approximation, which only involves one-dimensional convolution integrals In Section 176 we describe the value of having more detailed state information, speci cally the current ages of levels With heavy-tailed distributions, a large elapsed holding time means that a large remaining holding time is very likely; for examples see Duf eld and Whitt [14, Section 8] for background, and Harchol-Balter and Downey [21] for an application in another setting In Section 177 we turn to applications to capacity planning The idea is to approximate the probability of an excursion in demand using Chernoff bounds and other large deviation approximations, then chart its recovery to a target acceptable level using the results on transience Interestingly, the time to recover from excursions suf ciently close to the target level depends on the level durations essentially only through their mean.

Serious Java attacks have yet to escape the lab, and we want to do our part to keep it that way In the early days of Java, Sun Microsystems and the rest of the Java industry hyped Java as completely secure [Sun Microsystems, 1995] This was really no surprise They still have a lot to gain if you believe them and jump aboard the Java bandwagon without even considering the risks of doing so It's true that Sun Microsystems, Netscape, Microsoft, and others have gone to great lengths to make their Java implementations as secure as possible That's all well and good, but you don't want effort-you want results To this day, the question remains: Is Java safe enough to use This chapter examines all of the serious security flaws that have been found in Java so far.

Correspondingly, the conditional mean demand relaxes linearly from its excursion, at least approximately so, for suf ciently small times If the chance for a larger excursion is negligible (as determined by the large deviation approximation mentioned) then this simple description may suf ce An example is given in Section 178 In Section 179 we show how long-range dependence in the level process arises through heavy-tailed level-holding-time distributions Finally, we draw conclusions in Section 1710..

17.4 17.4.1

Entry points requiring authentication Approved authentication methods Authentication method matched to risk Technical methods of authentication

By serious, we mean attacks based on these flaws could go beyond the annoyance or denial-of-service attacks of 4, "Malicious Applets: Avoiding a Common Nuisance" These attacks could corrupt data on your hard disk, reveal your private data to third parties, turn your machine into a hostile listening post, or infect your machine with a virus By exploiting some of the vulnerabilities discussed here, a cracker could attain the ultimate cracker goal-complete control of your machine Java vendors are very quick to fix any problems that are discovered in Java In fact, vendor response to the discovery of a new Java security hole far surpasses the usual response to non-Java-related security.

Throughout this chapter, the state information on which we condition will be either the current level of each source or the current level and age (current time) in that level of each source. No state from the within-level variation process is assumed. Conditional on that state information, we can compute the probability that each source will be in each possible level at any time in the future, from which we can calculate the conditional mean and variance of the aggregate required bandwidth by adding.

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