A unique secure multimodal biometrics-based user anonymous authenticated key management protocol (SMUAAKAP) based on block chain mechanism for generic HIoTNs

Abstract

The concept of blockchain has sparked hopes in the field of communication security between IoT devices. In blockchain, all network nodes need to verify its legitimacy before accepting and recording it. Users of HIoTNs (Hierarchical IoT Networks) want to get real-time data from specific sensors in a specific implementation. Users need authentications at GNs for obtaining their required services. On successful authentications, parties on either sides of communication can create secret session keys for safe communications. Critical issues like this in HIoTNs are addressed in this work by its novel proposed multimodal-biometrics based lightweight user authentications. The scheme based on block chain technologies is called SMUAAKMPs (Secure Multimodal Biometrics-based User Anonymous Authenticated Key Management Protocols). ECDSAs (Elliptic Curve Digital Signature Algorithms) are utilised for devices and GNs, to generate public and private keys. In addition, multimodal biometric verifications are executed using fuzzy commitment approaches. The fuzzy commitment technique is then used to validate the biometric authentication using the segmented face. This work's detailed security analyses use ROR (Real-Or-Random) models where formal security verifications are done by software verification tool AVISPAs (Automated Validation of Internet Security Protocols and Applications). Informal security analyses show that the proposed SMUAAKMPs withstand multiple known attacks. The system also provides improved safety and functionalities at reduced costs in computations and communications when compared to UABKMPs, UAKMPs, and SMBUAKEPs.