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Anti-Cheat Tool for Detecting Unauthorized User Interference in the Unity Engine Using Blockchain

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Book cover Data-Centric Business and Applications

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 40))

Abstract

The purpose of this paper was to analyse problem of cheating in online games and to design a comprehensive tool for the Unity engine that detects and protects the applications against unauthorized interference by the user. The basic functionality of the tool is detecting and blocking unauthorized interference in the device’s memory, detecting the modification of the speed of time flow in the game and detecting time changes in the operating system. The research also examined the current potential of blockchain technology as a secure database for the game. Proposed algorithms where implemented and tested for usability and speed of operation.

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Author information

Authors and Affiliations

  1. Faculty of Computer Science and Management, Wroclaw University of Science and Technology, Wroclaw, Poland

    Michal Kedziora, Aleksander Gorka, Aleksander Marianski & Ireneusz Jozwiak

Authors
  1. Michal Kedziora
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  2. Aleksander Gorka
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  3. Aleksander Marianski
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  4. Ireneusz Jozwiak
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Corresponding author

Correspondence to Michal Kedziora .

Editor information

Editors and Affiliations

  1. Institute of Information Technology, Lodz University of Technology, Łódź, Poland

    Aneta Poniszewska-Marańda

  2. Department of e-Business, Faculty of Business, Economics and Statistics, University of Vienna, Vienna, Wien, Austria

    Natalia Kryvinska

  3. Faculty of Computer Science, Bialystok University of Technology, Białystok, Poland

    Stanisław Jarząbek

  4. Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Lech Madeyski

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Kedziora, M., Gorka, A., Marianski, A., Jozwiak, I. (2020). Anti-Cheat Tool for Detecting Unauthorized User Interference in the Unity Engine Using Blockchain. In: Poniszewska-Marańda, A., Kryvinska, N., Jarząbek, S., Madeyski, L. (eds) Data-Centric Business and Applications. Lecture Notes on Data Engineering and Communications Technologies, vol 40. Springer, Cham. https://doi.org/10.1007/978-3-030-34706-2_10

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