Title | Trusted AI with Blockchain to Empower Metaverse |
Publication Type | Conference Paper |
Year of Publication | 2022 |
Authors | Badruddoja, S, Dantu, R, He, Y, Thompson, M, Salau, A, Upadhyay, K |
Conference Name | 2022 Fourth International Conference on Blockchain Computing and Applications (BCCA) |
Abstract |
The digital experience emerging in the virtual world is a reality with the advent of the metaverse. Augmented reality(AR), virtual reality(VR), extended reality(XR), and artificial intelligence(AI) algorithms would pave the way for an immersive experience for the users in the virtual space. However, the explosion of these technologies broaches new challenges to threaten the success of metaverse due to security risks. The blockchain technology augmented with AI promises to deliver a trusted metaverse for everyone. Nevertheless, smart contracts fail to produce a cognitive prediction, dissuading users from confiding in the metaverse. We arm smart contracts with intelligence to predict using AI algorithms. Moreover, we deploy the smart contracts on the Ethereum blockchain platform and produce a prediction accuracy of 95% compared to Python scikit-learn-based predictions. Our results show that the prediction delay can obstruct the growth of metaverse applications to accept blockchain technologies. Furthermore, the limitation of blockchain technology can make integration unreasonable. Therefore, we discuss possible scalability solutions that can be part of our future work to help more metaverse applications adopt blockchain solutions. |
DOI | 10.1109/BCCA55292.2022.9922027 |