Name
Title | ||
|---|---|---|
A POMDP-based Method for Analyzing Blockchain System Security Against Long Delay Attack: (Extended Abstract) |
Abstract | ||
|---|---|---|
Blockchain bears the long-delay attack which is challenging to be analyzed. In this study, we propose a blockchain security analysis model based on Partially Observable Markov Decision Process (POMDP) against long delay attack by capturing the dynamic network delay. In our model, an observation function about the network delay is learned and updated based on a clustering algorithm about the timely network status. With the support of the observation function, a POMDP model is constructed for attackers to maximize their expected rewards. To analyze the security of a blockchain system against long delay attack, the utility of the attackers and normal miners with the same mining power are calculated and compared. The system is then regarded secured as the utility of the normal miners is no less than that of the attackers.
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Year | DOI | Venue |
|---|---|---|
2020 | 10.5555/3398761.3399079 | AAMAS '19: International Conference on Autonomous Agents and Multiagent Systems
Auckland
New Zealand
May, 2020 |
DocType | ISBN | Citations |
Conference | 978-1-4503-7518-4 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shuangfeng Zhang | 1 | 0 | 0.34 |
| Yuan Liu | 2 | 11 | 2.81 |
| Xingren Chen | 3 | 0 | 0.34 |
| Xin Zhou | 4 | 126 | 15.50 |