A secure and lightweight authentication scheme for digital forensics in industrial internet of things

Abstract

With the rapid development of Industrial Internet of Things (IIoT) technology, it has played a core role in promoting the intelligent transformation of manufacturing industry. However, the complexity and diversity of IIoT environment also bring serious network security challenges, especially frequent incidents such as data breaches and device tampering, which pose significant threats to industrial security. As a key means of addressing such threats, the effectiveness and credibility of digital forensics directly depend on the security and efficiency of identity authentication schemes. This article proposes a secure and lightweight multi factor authentication scheme based on chebyshev chaotic mapping to address the identity authentication challenge of digital forensics in IIoT. This scheme enhances the strength of identity authentication through a three-factor authentication mechanism, utilizes chebyshev chaotic mapping to achieve efficient key negotiation. This article comprehensively verifies the scheme using security proof, BAN logic and Scyther. The results show that the scheme can effectively resist various malicious attacks and has high security and reliability. Compared with existing schemes, the proposed scheme significantly reduces costs and improves authentication efficiency while meeting security requirements, providing strong security support for digital forensics in IIoT.