Proceedings of the 2018 2nd International Conference on Electrical Engineering and Automation (ICEEA 2018)

Analysis of the Fair Quantum Blind Signature

Authors
Yifan Zhang
Corresponding Author
Yifan Zhang
Available Online March 2018.
DOI
10.2991/iceea-18.2018.46How to use a DOI?
Keywords
quantum blind signature; forge attack; quantum entangled state
Abstract

The paper uses the uncertainty principle and no-cloning theorem; then combines the fundamental properties of quantum mechanics with the cryptographic hash function together; after that proposes a new security quantum blind signature. The analysis of security shows that the improved scheme has the feature of non-forgery, non-disavowal. Compares with other quantum signature, the new scheme needn’t to update the signer’s transmission private key and it can avoid the signer’s private key being exposed by the sender. Moreover, the improved scheme has guiding significance value to further optimal design quantum blind signature and quantum signature, etc.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 2nd International Conference on Electrical Engineering and Automation (ICEEA 2018)
Series
Advances in Engineering Research
Publication Date
March 2018
ISBN
978-94-6252-497-2
ISSN
2352-5401
DOI
10.2991/iceea-18.2018.46How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yifan Zhang
PY  - 2018/03
DA  - 2018/03
TI  - Analysis of the Fair Quantum Blind Signature
BT  - Proceedings of the 2018 2nd International Conference on Electrical Engineering and Automation (ICEEA 2018)
PB  - Atlantis Press
SP  - 209
EP  - 213
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceea-18.2018.46
DO  - 10.2991/iceea-18.2018.46
ID  - Zhang2018/03
ER  -