UNIGE document Scientific Article
previous document  unige:156269  next document
add to browser collection
Title

Experimental relativistic zero-knowledge proofs

Authors
Alikhani, Pouriya
Crépeau, Claude
Shi, Weixu
Published in Nature. 2021, vol. 599, p. 47-50
Abstract Protecting secrets is a key challenge in our contemporary information-based era. In common situations, however, revealing secrets appears unavoidable, for instance, when identifying oneself in a bank to retrieve money. In turn, this may have highly undesirable consequences in the unlikely, yet not unrealistic, case where the bank's security gets compromised. This naturally raises the question of whether disclosing secrets is fundamentally necessary for identifying oneself, or more generally for proving a statement to be correct. Developments in computer science provide an elegant solution via the concept of zero-knowledge proofs: a prover can convince a verifier of the validity of a certain statement without facilitating the elaboration of a proof at all. In this work, we report the experimental realisation of such a zero-knowledge protocol involving two separated verifier-prover pairs. Security is enforced via the physical principle of special relativity, and no computational assumption (such as the existence of one-way functions) is required. Our implementation exclusively relies on off-the-shelf equipment and works at both short (60 m) and long distances (400 m) in about one second. This demonstrates the practical potential of multi-prover zero-knowledge protocols, promising for identification tasks and blockchain-based applications such as cryptocurrencies or smart contracts.
Identifiers
Full text
Article (Submitted version) (2.3 MB) - public document Free access
Structures
Research groups Groupe Brunner
Groupe Zbinden
Citation
(ISO format)
ALIKHANI, Pouriya et al. Experimental relativistic zero-knowledge proofs. In: Nature, 2021, vol. 599, p. 47-50. doi: 10.1038/s41586-021-03998-y https://archive-ouverte.unige.ch/unige:156269

97 hits

34 downloads

Update

Deposited on : 2021-11-10

Export document
Format :
Citation style :