A Lightweight Security Authentication Scheme Based on Multiple Factors in the Industrial Internet

The authentication mechanism can ensure the security of data in the industrial Internet. However, existing authentication schemes mainly target traditional network entities and lack specific designs for AI service security, leaving models at risk of integrity breaches and malicious tampering. To address this, this paper proposes a novel three-party authentication scheme for the AI service environment. This scheme establishes secure two-way authentication among users, gateway nodes, and AI service providers, while ensuring user anonymity and forward security, and providing comprehensive resistance to diverse attacks such as insider attacks and DDoS. By organically combining biometric verification with lightweight cryptographic operations, our scheme maintains operational efficiency while enhancing security. A detailed analysis shows that its computational overhead is approximately 0.065 milliseconds and the communication overhead is 2304 bits, significantly outperforming existing schemes.