| Reference : Equihash: asymmetric proof-of-work based on the Generalized Birthday problem |
| Scientific congresses, symposiums and conference proceedings : Paper published in a book | |||
| Engineering, computing & technology : Computer science Business & economic sciences : Finance | |||
| http://hdl.handle.net/10993/22277 | |||
| Equihash: asymmetric proof-of-work based on the Generalized Birthday problem | |
| English | |
Biryukov, Alex  [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) > ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)] | |
| Khovratovich, Dmitry [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >] | |
| Feb-2016 | |
| Proceedings of NDSS 2016 | |
| 13 | |
| Yes | |
| International | |
| Network and Distributed System Security Symposium 2016 | |
| from 21-02-2016 to 24-02-2016 | |
| San Diego, California | |
| USA | |
| [en] Bitcoin ; proof-of-work ; memory-hard | |
| [en] The proof-of-work is a central concept in modern cryptocurrencies, but the requirement for fast verification so far made it an easy prey for GPU-, ASIC-, and botnet-equipped users. The attempts to rely on memory-intensive computations in order to remedy the disparity between architectures have resulted in slow or broken schemes.
In this paper we solve this open problem and show how to construct an asymmetric proof-of-work (PoW) based on a computationally hard problem, which requires a lot of memory to generate a proof (called "memory-hardness" feature) but is instant to verify. Our primary proposal is a PoW based on the generalized birthday problem and enhanced Wagner's algorithm for it. We introduce the new technique of algorithm binding to prevent cost amortization and demonstrate that possible parallel implementations are constrained by memory bandwidth. Our scheme has tunable and steep time-space tradeoffs, which impose large computational penalties if less memory is used. Our solution is practical and ready to deploy: a reference implementation of a proof-of-work requiring 700 MB of RAM runs in 30 seconds on a 1.8 GHz CPU, increases the computations by the factor of 1000 if memory is halved, and presents a proof of just 148 bytes long. | |
| Researchers ; Professionals ; Students ; General public | |
| http://hdl.handle.net/10993/22277 |
| File(s) associated to this reference | ||||||||||||||
|
Fulltext file(s):
| ||||||||||||||
All documents in ORBilu are protected by a user license.
