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A Reverse Modification Method for Binary Code and Data.

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  • 1Department of Computer Science, Inner Mongolia University, Hohhot 010021, China.

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Summary
This summary is machine-generated.

This study introduces a novel method to counter hidden dangers in distributed software, specifically addressing reverse data modifications in 5G networks. The technique efficiently manipulates binary code and data, evading detection by synchronization mechanisms.

Keywords:
3D graphicsassembly codereverse engineeringvirtual reality

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Software Engineering

Background:

  • Distributed software with network synchronization faces risks from reverse data modifications, particularly in critical 5G applications like telemedicine and autonomous driving.
  • Existing reverse engineering approaches struggle with dynamic base virtual addresses, lack of prior knowledge, and high-speed memory value changes.

Purpose of the Study:

  • To reveal the hidden dangers of reverse data modifications in synchronized distributed software.
  • To propose a novel method for reverse modification of binary code and data in distributed software architectures.
  • To demonstrate the method's effectiveness in manipulating code and data without detection by synchronization mechanisms.

Main Methods:

  • Formal elaboration of distributed software architectures and design patterns using pseudo-codes.
  • Development of a novel reverse modification method based on knowledge-based rules to manipulate various data types (physical, sight, animation).
  • Implementation details presented using C++ and assembly language, with demonstrations on two network games.

Main Results:

  • The proposed method successfully manipulates binary code and data in distributed software.
  • The manipulation is undetectable by the game synchronization mechanism.
  • Demonstration results, supported by formulas and practical evidence, confirm the methodology's efficiency.

Conclusions:

  • The novel reverse modification method effectively addresses challenges in dynamic distributed software environments.
  • The technique offers a robust solution for securing or analyzing synchronized distributed software against undetected data manipulation.
  • This research has significant implications for the security and integrity of critical 5G applications.