Enhancing Network Security with Zero-Trust Principles and Anonymous Identity Authentication
Raghavendra Narayanrao Kulkarni, Chetna Kaushal, Ismail Mohamed Keshta, Mukesh Soni, Renato Racelis Maaliw III · Apple Academic Press eBooks · 2025
As a prime exemplar of the Internet of Things (IoT), the vehicle-to-vehicle network assumes a pivotal position in the realm of intelligent transportation. It provides various online services for vehicles and reduces the risk of accidents for drivers. However, during communication, the vehicle-to-vehicle network generates sensitive information, such as vehicle location and routes. Enhancing the anonymity of vehicle identities in secure services is a research interest in vehicle-to-vehicle network security, especially in Zero Trust network security. This article introduces an anonymous identity authentication scheme based on batch verification algorithms, leveraging the principles of Zero Trust security. It expands the scope of anonymous authentication methods for IEEE WAVE security services by incorporating techniques such as anonymous credentials and zero-knowledge proofs, in accordance with the tenets of the Zero Trust model. Furthermore, it offers a mechanism for identity recovery via a trusted third party, thereby establishing a holistic 186 security framework. Experimental results indicate that when the number of signatures for batch verification exceeds 11, the computational cost of the proposed scheme is more efficient than some comparative schemes. Based on this, the article suggests the optimal cycle for batch verification in the DSRC’s BSM and vehicle proximity payment applications while maintaining a zero-trust security posture.