Zero knowledge proof for secure two-party computation with malicious adversaries in distributed networks. (2018)
- Record Type:
- Journal Article
- Title:
- Zero knowledge proof for secure two-party computation with malicious adversaries in distributed networks. (2018)
- Main Title:
- Zero knowledge proof for secure two-party computation with malicious adversaries in distributed networks
- Authors:
- Yang, Xiaoyi
Huang, Meijuan - Abstract:
- Distributed networks remarkably enhance the convenience of network connectivity. How to achieve efficient cooperative computation while preserving data privacy is a challenge in the scenario of distributed networks. Secure computation, as the key technology of information security and privacy protection in the distributed networks, attracts more and more attention. In the paper, we develop the protocols of secure two-party computation in the presence of malicious adversaries which are constructed with homomorphic probabilistic cryptosystem, and propose four honest-verifier zero-knowledge proof protocols to detect two cheating behaviours of the malicious adversary. The proposed protocols are more targeted than the existing work. The analysis shows that the proposed protocols are complete, sound and zero-knowledge. As an application, we show how to use our protocols in a secure two-party protocol to detect cheating, which can make it secure in the presence of malicious adversaries.
- Is Part Of:
- International journal of computational science and engineering. Volume 16:Number 4(2018)
- Journal:
- International journal of computational science and engineering
- Issue:
- Volume 16:Number 4(2018)
- Issue Display:
- Volume 16, Issue 4 (2018)
- Year:
- 2018
- Volume:
- 16
- Issue:
- 4
- Issue Sort Value:
- 2018-0016-0004-0000
- Page Start:
- 441
- Page End:
- 450
- Publication Date:
- 2018
- Subjects:
- distributed networks -- secure two-party computation -- malicious adversaries -- homomorphic encryption -- zero knowledge proof
Computer science -- Mathematics -- Periodicals
Computer simulation -- Mathematical aspects -- Periodicals
Computational intelligence -- Periodicals
004.015105 - Journal URLs:
- http://www.inderscience.com/jhome.php?jcode=ijcse ↗
http://www.inderscience.com/ ↗ - Languages:
- English
- ISSNs:
- 1742-7185
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 9252.xml