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Fig. 2.5 Testing for multifractality. Each plot superposes results for a synthesized FBM (dashed line) and actual Internet data (solid line). Left: Multiscale diagram. Alignment for the FBM series is consistent with its known self-similar nature, and no alignment for the Internet data suggests nondegenerate multifractal behavior. Right: Linear MD. Horizontal alignment for the FBM series suggests even more clearly that z q qH, whereas it is even more clearly not the case for the Internet data.

The idea is to catch any exceptions that might be sent to an applet thread to try to kill it (for example, a ThreadDeath exception, which is what is thrown when Thread.stop() is called). These exceptions are caught in the body of the block. In the finally block, a malicious applet can include code to resurrect itself in case of a problem. Note that the same sort of thing can be done using an applet's finalize() method, which gets invoked during garbage collection. This technique counters all attempts to kill a thread and can be used to defeat a majority of commercial Java security packages that claim to be able to kill hostile applets. Stopping an applet that does not want to be stopped is a nontrivial undertaking. One approach might be to hook deeply into the Java runtime and terminate an actual OS thread, but this is problematic since it would sometimes destabilize the entire browser. Since stopping applets is difficult, making monitoring applets is easy.

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shows a clear alignment for the FBM series, consistent with its self-similar nature, and a clear absence of alignment for the Internet data, indicating that it is not monofractal and that a multifractal model may be appropriate. These conclusions are con rmed in the right-hand plot, where the same data are analyzed in the linear multiscale diagram. A clear horizontal alignment of the FBM data is observed while it is con rmed that the Internet data cannot obey z q qH. The Internet data example in the gure is given to illustrate the use of the multiscale diagrams, although the presence of possible multifractal scaling behavior in such traf c is of interest in its own right [76]. More generally, however, multifractals have recently attracted considerable attention in traf c modeling because of their ability to exibly model highly variable local behavior in a natural way. Multifractal processes can also have positive increments that are approximately lognormally distributed, in agreement with a number of empirical traf c studies. For more details on these empirical ndings the reader is referred to Levy Vehel and Riedi [45, 61], where such analyses were rst performed, or to Feldmann et al. [29, 30], Gilbert et al. [37], Riedi et al. [60], Taqqu et al. [70], and Veitch et al. [76] for further investigations, and where connections to multiplicative cascade models are presented. 20 of this volume and references therein can also be consulted and 15 for details of lognormal distributions in traf c. 2.3.4 Departures from Scaling

The text and diagrams are indispensable to security risk analysis and figuring out better defensive measures to protect systems from harm. Once the documents and diagrams are completed, it is extremely important to keep them current as changes are contemplated and made. The same level of attention to detail and analysis that went into the original design should be applied to any proposed changes. Any changes made must be documented right away.

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