Avatar Authenticated Metaverse Environment with Improved Key Management and Information Flow Control with Obfuscation

The metaverse, a virtual world that simulates reality, is developing quickly and is about to become widely incorporated into human existence in a number of areas, including healthcare, education, and transportation. Utilizing the core principles of traditional classroom training, its online counterpart offers increased flexibility, accessibility, inclusivity, and cost-efficiency. Advancements in technology and educational tools automate data collection, enabling precise assessment of knowledge, tailored learning experiences, and targeted faculty interventions to accommodate diverse learner needs. The onset of global technological advancements accelerated the adoption of virtual learning solutions, prompting a significant transformation in teaching methods. This paper proposes a novel avatar-authenticated metaverse environment, leveraging cloud computing benefits and incorporating techniques such as Improved Key Management (IKM), Enhanced Information Flow Control (EIFC), with an obfuscation process. The EIFC method, coupled with obfuscation, introduces the Red Fox-Adapted Tuna Swarm Optimization algorithm (RFATSO) to optimally choose an improved Blowfish key from a series of sub-keys in the improved Blowfish algorithm. Experimental evaluation against established techniques showcases the effectiveness of the proposed approach in revolutionizing educational practices.