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The people who devise the entity s processes must communicate early, frequently, and openly with the systems architecture team. Ideally they are also members of the architecture team. That cooperative communication between business operations and technology designers is where the opportunity to use information systems design for economic advantage begins. After the business drivers are collected, they must be validated through the organization s guiding principles. This step ensures that the objectives are consistent with the organization s culture, values, and current management s viewpoint and direction. Two organizations could have very similar objectives and business drivers yet have contrastingly different pathways to achieve them. Understanding the entity s guiding principles aids in learning the right path.

We think these attacks are serious enough that code for them is not listed here Examining some attacks through high-level description and occasional code fragments should be enough to illustrate a point Realistically, the sorts of malicious applets being described are not too difficult to dream up People who are interested will be able to either create the code or find it, as they see fit Consider the denial-of-service attack presented in Listing 44 It recycles an idea from the NoisyApplet making use of nonterminating threads Quite simple to formulate, it looks something like this: 1 Create an applet that starts a thread with its priority set to MAX_PRIORITY This makes the thread run as quickly as possible and gives it a leg up in the ongoing competition between threads for CPU time 2 Redefine the stop() method to null for the thread 3.

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similar time series into the network. We follow a different approach based on the notion of structural causality (see Section 18.2.2) whereby we make use of the fact that a networked client=server environment, with clients interactively accessing les or objects with heavy-tailed sizes from servers across the network, leads to aggregate traf c that is self-similar [33]. Most importantly, this mechanism is robust and holds when the le transfers are mediated by transport layer protocols executing reliable ow-controlled transport (e.g., TCP) or unreliable ow-controlled transport. The separation and isolation of ``self-similar causality'' to the highest layer of the protocol stack allows us to interject different congestion control protocols in the transport layer, discern their in uence, and study their impact on network performance. This is illustrated in Fig. 18.7. Figure 18.8 shows a 2-server, n-client n ! 33 network con guration with a bottleneck link connecting gateways G1 and G2 . The link bandwidths were set at 10 Mb=s and the latency of each link was set to 5 ms. The maximum segment size was xed at 1 kB for all runs. Some of the clients engage in interactive transport of les with heavy-tailed sizes across the bottleneck link to the servers (i.e., the nomenclature of ``client'' and ``server'' are reversed here), sleeping for an exponential time between successive transfers. Others act as in nite sources (i.e., they have always data to send) executing the generic linear increase=exponential decrease feeback congestion control with and without SAC in the protocol stack trying to

Fig. 18.7 Transformation of the heavy-tailedness of le size distribution property at the application layer via the action of the transport layer into its manifestation as self-similar aggregated traf c at the link layer.

Do something silly in the main part of the applet so that it appears to be harmless Show a picture or display some cute animation 4 Have the thread sleep for a while to delay its malicious activities Such sleight of hand will have the effect of placing the blame somewhere else when the thread wakes back up to perform its dirty work..

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