Provenance Tracking of In-game Virtual Items via the Blockchain

Abstract

This thesis explores the integration of blockchain technology within the gaming industry, with a specific focus on in-game virtual item trading. Through a comprehensive examination of various consensus algorithms, the research identifies optimal solutions that enhance latency and throughput in real-time game trading. A specialized communication model for blockchain-based streamed gaming is developed, offering new insights into transaction delays and enriching our understanding of real-time trading dynamics within gaming environments. A significant contribution is the development of a mathematical model designed to predict system performance and resource allocation, holding substantial potential for enhancing system optimization within the gaming industry. The thesis also delves into the delivery of video games through cloud and edge-based technologies, revolutionizing the gaming industry by enabling players to access and play games on various devices. Experimental aspects are detailed, including in-game trading transactions, communication models, and simulator design, leading to comprehensive results and analysis. The concluding chapter synthesizes the findings, emphasizing the integration of blockchain technology in the gaming industry, the development of a mathematical model, and the potential applications in creating secure platforms for trading in-game assets. Future work includes the exciting avenue of developing a lighting network simulation for cloud game trading. This research not only advances the theoretical understanding of blockchain technology in gaming but also provides practical models and tools that can guide future research and development in this field.