Auditing Metaverse Requires Multimodal Deep Learning

【Author】 Upadhyay, Kritagya; Dantu, Ram; He, Yanyan; Badruddoja, Syed; Salau, Abiola

【Source】2022 IEEE 4TH INTERNATIONAL CONFERENCE ON TRUST, PRIVACY AND SECURITY IN INTELLIGENT SYSTEMS, AND APPLICATIONS, TPS-ISA

【影响因子】

【Abstract】Metaverse is an integration of many different technologies like blockchain, AI, edge computing, virtual reality, and many more, simulating the physical world in a virtual environment with holograms and avatars representing individuals. The metaverse is still in the early developmental stages as various tech companies propose exciting and promising features the technology can offer. Despite the plethora of benefits, this can bring to its users, for it to be able to achieve its potential, the security of the digital infrastructure and assets needs to be carefully addressed. In this paper, we present the metaverse and the collection of technologies it comprises. We focus on the integrated auditing methodology of the metaverse in detail that requires multimodal deep learning, which incorporates blockchain-based smart contracts as well. We provide attention to identifying major security threats and vulnerabilities in the decentralized metaverse, which, in our opinion, may hinder the success of the metaverse. Finally, we conclude by proposing mitigation strategies for the discussed security threats via integrated multimodal deep learning and smart contract audit for the presented security vulnerabilities for the metaverse.

【Keywords】Metaverse; Deep Learning; Blockchain; Smart Contract; Multimodal; Security Threats and Vulnerabilities; Defense Mechanism; Solidity; Secure Auditing; Artificial Intelligence; Industry 4.0

【发表时间】2022

【收录时间】2023-06-25

【文献类型】理论模型

【主题类别】

区块链应用-虚拟经济-元宇宙