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There s not really a whole lot to the process of information elimination. It is generally a nonissue in conventional compiler-based languages such as C and C++ because symbolic information is not usually included in release builds anyway no special attention is required. If you re a developer and you re concerned about reversers, I d recommend that you test your program for the presence of any useful symbolic information before it goes out the door. One area where even compiler-based programs can contain a little bit of symbolic information is the import and export tables. If a program has numerous DLLs, and those DLLs export a large number of functions, the names of all of those exported functions could be somewhat helpful to reversers. Again, if you are a developer and are seriously concerned about people reversing your program, it might be worthwhile to export all functions by ordinals rather than by names. You d be surprised how helpful these names can be in reversing a program, especially with C++ names that usually contain a full-blown class name and member name. The issue of symbolic information is different with most bytecode-based languages. That s because these languages often use names for internal crossreferencing instead of addresses, so all internal names are preserved when a program is compiled. This creates a situation in which many bytecode programs can be decompiled back into an extremely readable source-code-like form. These strings cannot just be eliminated they must be replaced with

There is no point being the fastest guy on the race course if you are going in the wrong direction. Not only do you need to sail fast, you need to sail smart: get your head out of the boat and look around. Remember, winds tend to vary from forecasts. There may be patterns in the wind forced by topography. Look at the surrounding area. Google Earth is a great way to do this. If the wind is offshore, it will most likely be shifty, but how shifty will depend upon how much land there is, how high the land is near the shore and how close to the shore the race course is. Race committees will often use the same sailing area, so getting to know the various wind patterns is extremely useful.

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The event tree analysis provided an understanding of the importance of different risk elements at the site, and a rough estimate of the probability of an off-site spill. To develop a more precise estimate of system failure probability, a simulation model of the tank farm was built. The occurrence of an off-site spill of oil during an earthquake depends on the simultaneous occurrence of many interdependent elements within the oil storage areas. The many possible combinations of failure of revetments, outer re walls, inner re walls, over ow of unfailed re walls, and tank failures from foundation settlement, caused by an earthquake the size of which is, itself, uncertain, cannot easily be resolved analytically. In the simulation model, the principal components affecting the likelihood of an off-site spill were considered. For each component, random numbers were generated to represent the component s response to a particular seismic event. The random numbers were chosen to t probability distributions whose means and variances re ected the inferred uncertainty in the behavior of each component. Systematic uncertainties and uncertainties due to spatial variation were analyzed separately, since realizations of the systematic uncertainties apply to every component in the same way, while those of the spatial variation differ from one component to another. This simulation model started with the plan of the facility shown in Figure 22.11, and reliability models of the individual components of the site were developed to predict probabilities of component failure given different levels of peak ground acceleration. In most

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other strings, so that internal cross-references are not severed. The typical strategy is to have a program go over the executable after it is created and just rename all internal names to meaningless strings.

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