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      Empowering Metaverse Through Machine Learning and Blockchain Technology: A Study on Machine Learning, Blockchain, and Their Combination to Enhance Metaverse

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      ScienceOpen Preprints
      Artificial Neural Networks, Blockchain, Linear Regression, Metaverse, Recommender Systems


            The Metaverse is an innovative world grasping the attention of many users seeking this trend. With the trending use of Blockchain technology emerging in client-based applications, there has been a call for the empowerment of Metaverse applications through the combination of Blockchain and Artificial Intelligence. This research paper aims to propose strategies for addressing the security concerns and the user-friendliness of Metaverse applications by fusing Blockchain technology with Machine Learning concepts like Linear Regression, Artificial Neural Networks, Deep Learning, and Recommender Systems. The first proposed strategy aims to enhance security and predict malicious attacks on Blockchain user transactions in Metaverse worlds through Linear Regression and Artificial Neural Networks. The second proposed strategy pursues the creation of a Content-Based Filtering Recommendation System of Blockchain assets for Metaverse users to purchase. The expected outcome will result in a more secure and intelligent Metaverse world for user participation.


            Author and article information

            ScienceOpen Preprints
            2 July 2022
            [1 ] Department of Computer Science, Faculty of Arts and Sciences, University of Balamand, Balamand el Koura, North Governate, Lebanon
            Author notes
            Author information

            This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .

            : 2 July 2022

            Data sharing not applicable to this article as no datasets were generated or analysed during the current study.
            Software engineering,Computer science,Artificial intelligence
            Metaverse,Linear Regression,Artificial Neural Networks,Blockchain,Recommender Systems


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