Research and Innovation

This research project focuses on designing efficient privacy-preserving authentication schemes to reduce the communication and computation overhead related to authenticating entities in VANET.

This research project focuses on designing efficient privacy-preserving authentication schemes to reduce the communication and computation overhead related to authenticating entities in VANET. We have exploited Merkle Hash Tree and Modified Merkle Patricia Trie (MMPT) to overcome the performance limitations of the conventional approach of authentication, such as the ECDSA algorithm for efficient authentication of Road Side Units (RSUs) and Vehicles in VANET. A detailed security analysis is carried out to demonstrate the effectiveness of our authentication scheme against message modification attacks, replay attacks, and message injection attacks. Performance evaluation also shows that the proposed scheme has a significantly lower authentication overhead than other related schemes.