Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control

Research on Anti-power Attack Technology Based on AES Improved Algorithm

Authors
Kai Luo, Leibo Liu
Corresponding Author
Kai Luo
Available Online April 2016.
DOI
10.2991/icmemtc-16.2016.238How to use a DOI?
Keywords
AES algorithm; Anti-power; Power analysis; Attack.
Abstract

In the paper, an improved plan is proposed based on AES encryption algorithm. Complex mix-column operation in the AES implementation process is simplified by the improved plan, and an anti-power attack technology is further proposed on the basis of implementing the improved plan. The technology is based on hamming weight model theory of power consumption. Power consumption is balanced through complementary operations on the algorithm level. The operation power consumption is always not related with intermediate data produced by encryption algorithm at any time during hardware implementation, thereby hiding power consumption and data information and achieving the purpose of anti-power attack.

Copyright
© 2016, 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 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
Series
Advances in Engineering Research
Publication Date
April 2016
ISBN
10.2991/icmemtc-16.2016.238
ISSN
2352-5401
DOI
10.2991/icmemtc-16.2016.238How to use a DOI?
Copyright
© 2016, 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  - Kai Luo
AU  - Leibo Liu
PY  - 2016/04
DA  - 2016/04
TI  - Research on Anti-power Attack Technology Based on AES Improved Algorithm
BT  - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
PB  - Atlantis Press
SP  - 1202
EP  - 1207
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmemtc-16.2016.238
DO  - 10.2991/icmemtc-16.2016.238
ID  - Luo2016/04
ER  -