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Table 4.4: Approximate TMTO Success Probabilities P(success) 0 2k-5 0.03 21;-4 0.06 21;-3 0.12 2k-2 0.22 21;-1 0.39 21; 0.63 2krl 0.86 2k+2 0.98 2k+3 0.99 0 0 1.00 If key K lies on one of the pre-computed chains then the time required when the attack is executed is about t (that is, t / 2 steps, on average, are needed to find the matching E P and then another t / 2 steps are required. on average, to find K ) . For the parameters in equation (4.4), this gives a pre-computation of 2k encryptions, a memory requirement of 2 2 k / 3 , and a time requirement of 22k/ . For example for DES-the cipher for which Hellman originally developed his attack --this yields a costly pre-computation of 256, but then the resulting time and memory requirements for each instance of the attack phase are both less than 238, with a high probability of success. Although the attack is only probabilistic, the probability of success is high, provided that the necessary pre-computation is feasible.



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When your program uses more than its allotment of space, rather than failing to save the requested information, the user is prompted to allow this action. Flash Player automatically opens a dialog box with this prompt, showing the space requested and the space currently allocated. You don t have to provide this dialog box yourself, but you also can t customize it. A sample dialog box is shown in Figure 29-3.

Any SWF that might display this kind of prompt must be at least 215 pixels wide by 138 pixels high or bigger to accommodate this prompt. If the stage is smaller, the request is automatically denied and the user sees no prompt!





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Readiris Pro 7 is OCR software that converts your everyday printed documents, such as letters, faxes, magazine articles, and columns in a newspaper, into editable text files with a high rate of recognition accuracy.

Hellman s TMTO is easily adapted to a distributed attack. This version of the attack employs distinguished points \20]. The crucial insight is that we need not use fixed-length chains, but, instead, we can simply construct it chain until some easily distinguished point is found. For example, we can construct each chain until we obtain an output of the form

FIGURE 29-3

This kind of prompting means that you can have the chance to store as much information as you want in a shared object, but also that it is never guaranteed. Furthermore, for some applications, allowing the user to see this dialog box might be unacceptable, and you might have to plan for a limit of 100KB and hope for the best.

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Assume that an administrator of a server would like to classify the users into groups of users that communicate the most. In this case, it becomes obvious that we can use an incremental version of the algorithm in Section 3. First, we can create a binary relation between different users if they have communicated at least some number of messages per month. Second, we extract the minimum number of concepts. Each concept will identify a group of users. This incremental classification might be used for several purposes.

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Earlier you learned that SharedObjects are synchronized to disk automatically as the SWF unloads, so you don t have to use flush(). However, if your assignments to the LSO require it to ask the user to expand in size, it is too late to display this dialog box if the SWF is closing. If you are using SharedObjects to casually store a tiny bit of noncritical information, this should be no problem and you may choose not to manually synchronize the shared object to disk with flush(). In this case, popping up a dialog box isn t even preferable to losing the information if the information is so unimportant. However, if you need to know if the data was successfully stored, you should explicitly use flush().

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