Privacy-preserving V2I communication and secure authentication using ECC with physical unclonable function

Abstract

In recent years, service provided based on the location has brought a tremendous change in our lives. However, one of the biggest challenges is to preserve users’ privacy which upon leakage could have disastrous consequences. Privacy preservation has gained remarkable consideration as a notable number of users have started being conscious about privacy protection. Most solutions that have been developed in such a distributed scenario need a third party for data anonymization. In a system of public data sharing, one of the most popular and useful anonymization techniques is local differential privacy (LDP). Without requiring a third party to perturb the data, LDP allows users to perturb their data locally and individually, resulting in stronger privacy guarantees. Based on this principle the proposed system provides anonymity and integrity during communication and independent key generation by using secure authentication mechanism i.e., Physical Unclonable Function (PUF) with elliptical curve cryptography and remove third party dependency for data anonymization by using LDP with Hadamard count mean sketch (HCMS) protocol. For scalability, and quantum secrecy IOTA ledger is used on top of LDP anonymization technique. Our experimental results show that using PUF with ECC for authentication can reduce the computational overhead and increase the secrecy of the communication, LDP with HCMS achieves high privacy while also showing the tradeoff between utility and privacy. Furthermore, the IOTA ledger provides more scalability than the existing technique. Hence, the privacy of an individual will be preserved without compromising accuracy while sharing information to the third party for using location-based services.