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Because bytecode-based languages are highly detailed, there are numerous decompilers that are highly effective for decompiling bytecode executables. One of the primary design goals of most bytecode obfuscators is to confuse decompilers, so that the code cannot be easily restored to a highly detailed source code. One trick that does wonders is to modify the program binary so that the bytecode contains statements that cannot be translated back into the original high-level language. The example given in A Taxonomy of Obfuscating Transformations by Christian Collberg, Clark Thomborson, and Douglas Low [Collberg2] is the Java programming language, where the high-level language does not have the goto statement, but the Java bytecode does. This means that its possible to add goto statements into the bytecode in order to completely break the program s flow graph, so that a decompiler cannot later reconstruct it (because it contains instructions that cannot be translated back to Java). In native processor languages such as IA-32 machine code, decompilation is such a complex and fragile process that any kind of obfuscation transformation could easily get them to fail or produce meaningless code. Consider, for example, what would happen if a decompiler ran into the OBFUSCATE macro from the previous section.

The essence of the nite element method is to convert a problem described by partial differential equations over space and time into one described by algebraic equations. This is done by dividing the space-time continuum into a set of discrete elements and assuming

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Converting a program or a function into a table interpretation layout is a highly powerful obfuscation approach, that if done right can repel both deobfuscators and human reversers. The idea is to break a code sequence into multiple short chunks and have the code loop through a conditional code sequence that decides to which of the code sequences to jump at any given moment. This dramatically reduces the readability of the code because it completely hides any kind of structure within it. Any code structures, such as logical statements or loops, are buried inside this unintuitive structure. As an example, consider the simple data processing function in Listing 10.2.

Reliability and Statistics in Geotechnical Engineering Gregory B. Baecher and John T. Christian 2003 John Wiley & Sons, Ltd ISBN: 0-471-49833-5

00401000 00401001 00401002 00401006 00401008 0040100A 0040100D 0040100F 00401013 00401016 push push mov xor xor cmp jbe mov add push esi edi edi,dword ptr [esp+10h] eax,eax esi,esi edi,3 0040103A edx,dword ptr [esp+0Ch] edi,0FFFFFFFCh ebx

The base level is to get the standard kit, or kit that is known to be competitive. Anything above this is to gain a little bit on the competition. Rarely do people make large jumps in performance: the gains are generally the cumulative effect of small improvements. Ultimately the question must be asked: is there any technology that can help us It may not be something that directly affects on-the-water racing. It may be, for instance, to use a GPS tracking device in practice events to try and analyse decision-making. Or to ensure that all the crew has identical, calibrated scales to check body weight. Technology can be used in a variety of imaginative ways that might ultimately help a team s performance.

Listing 10.2 A simple data processing function that XORs a data block with a parameter passed to it and writes the result back into the data block.

that the unknowns vary in a simple way over each element. Usually, this means that the unknowns vary linearly or quadratically over each element, but more complicated patterns are also used. Because the method originated among structural engineers, structural notation and nomenclature have clung to the method, and some explanation is often necessary when the method is employed in another area. The simplest form of the nite element method is the application to the static deformation of a linearly elastic body undergoing in nitesimal strains. The body is divided into m elements usually triangles or quadrilaterals in the plane case. Each element has a number of nodes, and the deformation of the element is determined by the displacements of the nodes. In the basic case the patterns of deformation are chosen so that continuity is maintained across the element interfaces. Displacements are prescribed at some nodes. At the remaining nodes, the displacements must satisfy the matrix equation Ku = p (19.1)

00401017 0040101B 0040101E 0040101F 00401022 00401024 00401026 00401028 0040102A 0040102C 0040102E 00401031 00401034 00401036 00401038 00401039 0040103A 0040103B 0040103C

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