The main purpose of this paper is to present anti-reversing techniques employed by executable packers/protectors and also discusses techniques and publicly available tools that can be used to bypass or disable this protections.
This challenge involves researchers creating the packers and on the other side, the researchers that are determined to bypass these protections. In some cases, the reverser needs to know the internals of the operating system in order to identify or solve very difficult anti-reversing tricks employed by packers/protectors, patience and cleverness are also major factors in a successful unpack. Unpacking is an art-it is a mental challenge and is one of the most exciting mind games in the reverse engineering field. It has been shown that by using the proposed braking profiles it is possible to reduce the runway occupancy time even by 50%. The experiments show that there is great potential to increase airport capacity by optimizing the braking procedure. Simulation experiments allowed to create a set of nominal braking profiles that have different objective functions: minimizing the runway occupancy time, minimizing noise, minimizing tire wear, maximizing passenger comfort and maximizing airport capacity as a whole. It uses Petri nets and is a convenient tool for dynamic analysis of aircraft movement on the runway with given input parameters and a predetermined runway exit.
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For this purpose, the landing roll simulator (named ACPENSIM) was created. This paper presents an analysis which shows that the way of braking during landing roll has an essential impact on runway throughput and thus on airport capacity. The procedure usually does not include the objective to minimize the runway occupancy time. This time depends on many factors, including how the landing roll procedure is performed.
A large number of elements influence airport capacity, but one of the most important is runway occupancy time. Many contemporary airports are encountering the problem of insufficient capacity, which is particularly severe in periods of increased traffic.
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