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data are shown in Fig. 12.6. The rst 1000 frames are shown on the left. The test values identify the scene changes with no false positives. The choice of 0:5 as the critical value is not signi cant. Frames 9001 through 10,000 are shown on the right. This is a more active (in terms of bit-rate uctuations) subsequence, and changing the critical value will affect the number of frames identi ed as scene changes. There are 317 scene changes when 0:5 is the critical value (the mean scene length is 6.5 seconds); there are 374 when 0:4 is used, and 283 when 0:6 is used. The density functions of the scene lengths produced by these critical values are shown in Fig. 12.7. We observe that the critical value does not have a large effect on the density function. 12.3.2.1 Scene Lengths Plots of the autocorrelation function showed that scene lengths are uncorrelated, so the main modeling issue is to characterize the distribution of the number of frames in a scene. The shape of the density in Fig. 12.7 was observed on all sequences except for news. (This is a news broadcast. There are 134 scene changes, and 75 of them are 3 frames long. Moreover, most of these occur consecutively. We do not have an explanation for this. The 3-frame scenes were deleted and the remainder are called news.d.) This unimodal and long-tailed shape is characteristic of distributions used in reliability and insurance-loss models. We will use the following three distributions as candidates for describing scene lengths (and the number of cells per frame in the sequel).

Each population with similar access rights is provisioned from its own identity vault (meta-functionality). The identity and provisioning information is provided from the authoritative source through the source monitor software module discussed in 7. What is then done with the information is determined by the logic programmed and associated with the metafunctionality surrounding each identity vault. The logical exchanges of information to and from the identity vault directory unlock the power of meta-data exchanges to accomplish the provisioning work in identity management and identity provisioning systems. Leveraging the identity vault to provide user ID, password, or PIN information directly to the access control scheme embedded in commercial off-theshelf (COTS) software and database applications such as Oracle databases can be done with ready-made intermediary applications called application receptors. These are provided by the identity management software vendors and run on the data host systems. Their purpose is to take the information from the identity vault, format it to match the security schema needed in the application, and then place the formatted information in the appropriate control list within the COTS application. This capability to interface into the application security of existing software applications with ready-made software modules or with custom development tools is how identity management and provisioning software provides real value in meeting Sarbanes-Oxley control requirements. Without this feature, a person would have to make these entries,

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Public Variables First among the language concerns is the fact that Java allows a kind of variable called a public variable. These variables can be overwritten by a method from any Java class, no matter where the class may have been defined or from where that class may have been loaded. Storing any data in a public variable introduces a security risk. Public variables are still writable across namespaces. This means that a public variable can be overwritten by an applet that has come across the network. The global nature of public variables opens an entire

The Gamma Distribution. The density function is given by Eq. (12.3). The Weibull Distribution. It has the complementary distribution function (the probability that the random variable is larger than x) SW x 1 e lx ;

x; l; b > 0:

The Generalized Pareto Distribution. It has density function fP x G b k lb xk 1 G b G k l x k b ; x; b; l; k > 0:

Protected Variables A similar concern is raised by protected variables and classes. The real problem is that the label protected implies more security than it may actually offer. Protected variables and classes can be accessed by the class that created them, the creator's subclasses, and classes in the same Java package. Packages are a bit peculiar in Java (something we discuss later in this chapter). The result is that code can declare itself part of a package and gain access to protected variables. Developers should be aware of this risk and use protected variables sparingly.

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