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This concludes our introduction to the world of piracy and copy protection. If there is one message I have tried to convey here it is that software is a flexible thing, and that there is a level playing field between developers of protection technologies and crackers: trying to prevent piracy by placing software-based barriers is a limited approach. Any software-based barrier can be lifted by somehow modifying the software. The only open parameter that remains is

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just how long it is going to take crackers before they manage to lift that barrier. A more effective solution is to employ hardware-level solutions, but these can often create a significant negative impact on legitimate users, such as increased product costs, and reduced performance or reliability. The next chapters demonstrate the actual techniques that are commonly used for preventing reverse engineering and for creating tamper-proof software that can t be easily modified. I will then proceed to demonstrate how crackers typically attack copy protection technologies.

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completing the example. Barker et al. (1991) developed resistance factors for bearing capacity and sliding resistance of shallow footings supporting highway bridges, based on calibration using the FOSM approach. This procedure involved four steps: (1) estimating the inherent level of reliability in various methods of calculating footing capacity; (2) observing variations in reliability with bridge span length; (3) choosing target reliabilities based on the safety margin used in ASD; and (4) back calculating resistance factor using Equation (18.17). Partial results are shown in Table 18.7, suggesting the differences between the ASD and FOSM calibrations, and the effect of bridge span length. They suggest the values of resistance factors in the last column, in part to be more consistent with ASD experience. Resistance factors for overall slope stability under a shallow footing were also calculated by Barker et al. (1991) by direct calibration to the AASHTO code ASD requirements for factor of safety, using Equation (18.17). ASD calibration was used because it was thought that computer methods of slope stability analysis did not easily lend themselves to FOSM calibration procedures. More recent developments by Low (1996) using the Hasofer Lind method for slope stability analysis, however, suggest that a reliability-based calibration of resistance factor for slope stability design is straightforward, although yet to be reported in the literature.

There are many cases where it is beneficial to create software that is immune to reversing. This chapter presents the most powerful and common reversing approaches from the perspectives of both a software developer interested in developing a software program and from the perspective of an attacker attempting to overcome the antireversing measures and reverse the program. Before I begin an in-depth discussion on the various antireversing techniques and try to measure their performance, let s get one thing out of the way: It is never possible to entirely prevent reversing. What is possible is to hinder and obstruct reversers by wearing them out and making the process so slow and painful that they just give up. Whether some reversers will eventually succeed depends on several factors such as how capable they are and how motivated they are. Finally, the effectiveness of antireversing techniques will also depend on what price are you willing to pay for them. Every antireversing approach has some cost associated with it. Sometimes it s CPU usage, sometimes it s in code size, and sometimes it s reliability and robustness that s affected.

If you ignore the costs just described, antireversing almost always makes sense. Regardless of which application is being developed, as long as the end

Table 18.7 Resistance factors for semi-empirical evaluation of bearing capacity for spread footings on sand using FOSM. (After Barker et al. (1991), modi ed by Withiam et al. (1998)) Average reliability index, 4.2 3.2 Target reliability index, T 3.5 3.5 Resistance factor, Bridge span (m) 10 50 10 50 Fitted ASD 0.37 0.37 0.60 0.60 Calibrated FOSM 0.49 0.53 0.52 0.57 Suggested 0.45 0.45 0.55 0.55

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