Name
Abstract | ||
|---|---|---|
Proof-of-stake blockchain protocols are becoming one of the most promising alternatives to the energy-consuming proof-of-work protocols. However, one particularly critical threat in the PoS setting is the well-known long-range attacks caused by secret key leakage (LRSL attack). Specifically, an adversary can attempt to control/compromise accounts possessing substantial stake at some past moment such that double-spend or erase past transactions, violating the fundamental persistence property of blockchain. Puncturable signatures provide a satisfying solution to construct practical proof-of-stake blockchain resilient to LRSL attack, despite of the fact that existent constructions are not efficient enough for practical deployments. In this paper, we provide an in-depth study of puncturable signatures and explore its applications in the proof-of-stake blockchain. We formalize a security model that allows the adversary for adaptive signing and puncturing queries, and show a construction with efficient puncturing operations based on the Bloom filter data structure and strong Diffie-Hellman assumption. The puncturing functionality we desire is for a particular part of message, like prefix, instead of the whole message. Furthermore, we use puncturable signatures to construct practical proof-of-stake blockchain protocols that are resilient to LRSL attack, while previously the forward-secure signature is used to immunize this attack. We implement our scheme and provide experimental results showing that in comparison with the forward-secure signature, our construction performs substantially better on signature size, signing and verification efficiency, significantly on key update efficiency. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TIFS.2020.3001738 | IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY |
Keywords | DocType | Volume |
Blockchain, Protocols, Public key, Fans, Encryption, Biological system modeling, Puncturable signature, bloom filter, proof-of-stake, blockchain | Journal | 15 |
ISSN | Citations | PageRank |
1556-6013 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xinyu Li | 1 | 88 | 37.72 |
| Xu Jing | 2 | 0 | 0.34 |
| Xiong Fan | 3 | 6 | 4.65 |
| Yu-Chen Wang | 4 | 34 | 27.05 |
| Zhang Zhenfeng | 5 | 0 | 0.34 |