Multifactor Authentication Using Blockchain in 6G

With the rise of 6G technology, cyberattacks have become a significant concern, necessitating robust data security measures. Multi-factor authentication (MFA) systems, integrating advanced biometric methods, offer a promising solution to enhance security and protect sensitive information. This work explores the integration of iris and voice recognition with blockchain technology to enhance security measures for 6G networks. The increasing complexity of cyberattacks, privacy concerns from massive data collection, and the vulnerabilities associated with edge computing and quantum computing highlight the necessity for robust security solutions. Gaps in current 6G network security research, including limited studies on integrating multiple biometric modalities within Multi-Factor Authentication (MFA) systems and the lack of practical integration of AI/ML, Distributed Ledger Technology, and quantum computing have been identified. Addressing these gaps can lead to scalable and effective security solutions for 6G networks. The combination of unique iris and voice patterns with the tamper-proof and decentralized nature of blockchain ensures a robust authentication process. This framework was implemented and its efficacy and feasibility were demonstrated through simulated authentication procedures. The results show a significant improvement in security metrics over conventional single-factor authentication methods, with high accuracy rates for both voice and iris recognition. These outcomes, along with the blockchain's tamper-proof features, provide a strong defense against unauthorized access.