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On a more serious note, this line of attack is both very simple and very successful. Most browsers seize up and die under such an attack. Applets that implement these strategies exist on the Web now. Skeptical readers are welcome to surf over and kill their browsers personally (www.rstcorp.com/hostile-applets/). Just surf to a Web page containing hostile applets using a Java-enabled browser, and they will automatically be invoked. Short of creating and enforcing a mobile code policy based on code-signing, nothing can be done to prevent them. 6 examines some strategies for protection, but they are all still in early development. Just to complicate matters, such a hostile applet can implicate other Web pages by using delay tactics discussed previously.

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Inserting a Single Barcode into Microsoft Excel . Switch to the Add-Ins tab. Open the TBarCode Panel . Position the mouse cursor in a cell. Select the barcode type (e.g. Code 128). Enter the barcode data or use the default data for the selected barcode . Adjust the size of the barcode (width, height, module width etc).

applying aggressiveness selectively, rst by applying it only when the chances for bene t are highest (i.e., H E L2 jL1 l 1 for some l P 1; 8 , then second l highest H 2 , and so on. Eventually, we expect to hit a point when the cost of l aggressiveness outweighs its gain, thus leading to a net decrease in throughput as the stringency of selectivity is further relaxed. This phenomenon can be demonstrated using the threshold aggressiveness schedule of SAC (see Section 18.4.2.2) where aggressive action is taken if and only if H y, where y is the aggressiveness threshold. Figure 18.11 shows the l throughput versus aggressiveness threshold curve for threshold values in the range 1 y 8 for a 1:05 traf c. We observe that the gain is highest when going from y 1 to 2, then successively diminishes until it turns to a net loss, thereby decreasing throughput. If y 8, then this corresponds to the case where aggressiveness is applied at all times: that is, there is no selectivity.

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Fig. 18.11 Unimodal throughput curve as a function of aggressiveness threshold y for a 1:05 traf c.

There is no doubt that denial-of-service attacks are less serious than security breaches of the sort we discuss in 5 Although a browser might be crashed with such attacks, intruders do not gain entry into a system This has led some people at JavaSoft to dismiss this class of attacks as unimportant Before Arthur van Hoff (one of the original designers of Java) left JavaSoft for Marimba, he posted a note to complangjava that dismissed such problems as either not very serious or a concern for browser vendorsnot JavaSoft Although the most serious security problems should be addressed first, denial-of-service applets should also be addressed Using resource allocation limitations-for example, placing upper limits on CPU usage, number of instructions that can run, or number of windows allowed-is one line of defense Threads should not be able to override the stop() method so easily, either.

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Monotone Throughput Curve Although the unimodal, dome-shaped throughput curve (as a function of the aggressiveness threshold) is a representative shape, two other shapes monotonically increasing or decreasing are possible depending on the network con guration The shape of the curve is dependent on the relative magnitude of available resources (eg, bandwidth) versus the magnitude of aggressiveness as determined by the aggressiveness schedule E If resources are ``plentiful'' then aggressiveness is least penalized and it can lead to a monotonically increasing throughput curve On the other hand, if resources are ``scarce'' then aggressiveness is penalized most heavily and this can result in a monotonically decreasing throughput curve This phenomenon is shown in Fig 1812 Figure 1812 shows the throughput curves under the same network con guration except that the available bandwidth is decreased from the leftmost to the rightmost gure.

This book presents a strategy for developing architecture that private-sector and government systems designers can use for identity controls where privacy or protected information is shared and used online. Consumers of information technology services and systems designers and implementers will be exposed to a design concept for appropriately dealing with end-user identities, authentication, and access controls that are intended to meet the regulatory requirements of Sarbanes-Oxley Section 404 criteria for adequate controls. This book explains how to leverage existing technologies through proper design combinations and discusses the elements of architecture documentation needed to realize implementation. It presents the critical concepts necessary to design and create a system that integrates the elements of the controls architecture for the following:

This is affected by increasing the background traf c level from 25 Mb=s (Fig 1812(a)) to 5 Mb=s (Fig 1812(b)) to 75 Mb=s (Fig 1812(c)) We observe that the curve's shape transitions from monotone increasing to unimodal domeshaped to monotone decreasing In addition, due to the decrease in available bandwidth, overall throughput drops as the background traf c level is increased Figure 1813 shows the change in the shape of the throughput curve as the aggressiveness schedule E is shifted (or translated) upward that is, made overall more aggressive by 05, 20, 40, and 200 while keeping everything else xed We observe that an overall increase in the magnitude of aggressiveness can help improve throughput, transforming a monotone increasing throughput curve into a unimodal curve whose maximum throughput has increased.

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