Proceedings of the The 1st International Workshop on Cloud Computing and Information Security

A Probabilistic Encryption Way in Knapsack PKC

Authors
Wang Zuxi, Yu Baimu
Corresponding Author
Wang Zuxi
Available Online November 2013.
DOI
10.2991/ccis-13.2013.33How to use a DOI?
Keywords
Probabilistic encryption; Statistical analysis attack; Lattice basis reduction
Abstract

with the proposed of quantum computers, the knapsack public-key cryptosystem (PKC) becomes very popular. At present the most significant challenge towards knapsack PKC is lattice attack, and density is one of the most important factors to measure the security of it. In this paper, we introduce a probabilistic way to encrypt and compared the knapsack quadratic knapsack and the probabilistic knapsack.. We know that the probabilistic scheme enjoys a high density, information rate and it also secure against brute force attack, statistical analysis attack, lattice attack and so on, and it is efficient and practical.

Copyright
© 2013, 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 The 1st International Workshop on Cloud Computing and Information Security
Series
Advances in Intelligent Systems Research
Publication Date
November 2013
ISBN
10.2991/ccis-13.2013.33
ISSN
1951-6851
DOI
10.2991/ccis-13.2013.33How to use a DOI?
Copyright
© 2013, 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  - Wang Zuxi
AU  - Yu Baimu
PY  - 2013/11
DA  - 2013/11
TI  - A Probabilistic Encryption Way in Knapsack PKC
BT  - Proceedings of the The 1st International Workshop on Cloud Computing and Information Security
PB  - Atlantis Press
SP  - 140
EP  - 143
SN  - 1951-6851
UR  - https://doi.org/10.2991/ccis-13.2013.33
DO  - 10.2991/ccis-13.2013.33
ID  - Zuxi2013/11
ER  -