| Title | Improving Efficiency of Pseudonym Revocation in VANET Using Cuckoo Filter |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Zhang, H., Zhang, D., Chen, H., Xu, J. |
| Conference Name | 2020 IEEE 20th International Conference on Communication Technology (ICCT) |
| Date Published | oct |
| Keywords | Compression, CRLs, data deletion, Data models, data structures, filtering algorithms, Fingerprint recognition, Information filters, privacy, pseudonyms, pubcrawl, Scalability, Standards, VANETs, vehicular ad hoc networks |
| Abstract | In VANETs, pseudonyms are often used to replace the identity of vehicles in communication. When vehicles drive out of the network or misbehave, their pseudonym certificates need to be revoked by the certificate authority (CA). The certificate revocation lists (CRLs) are usually used to store the revoked certificates before their expiration. However, using CRLs would incur additional storage, communication and computation overhead. Some existing schemes have proposed to use Bloom Filter to compress the original CRLs, but they are unable to delete the expired certificates and introduce the false positive problem. In this paper, we propose an improved pseudonym certificates revocation scheme, using Cuckoo Filter for compression to reduce the impact of these problems. In order to optimize deletion efficiency, we propose the concept of Certificate Expiration List (CEL) which can be implemented with priority queue. The experimental results show that our scheme can effectively reduce the storage and communication overhead of pseudonym certificates revocation, while retaining moderately low false positive rates. In addition, our scheme can also greatly improve the lookup performance on CRLs, and reduce the revocation operation costs by allowing deletion. |
| DOI | 10.1109/ICCT50939.2020.9295788 |
| Citation Key | zhang_improving_2020 |
Improving Efficiency of Pseudonym Revocation in VANET Using Cuckoo Filter