Optimising implementation of block ciphers

With the increasing need to protect information digitally, the study of cryptography has become of paramount importance. The digital world requires strong and efficient encryption algorithms in order to ensure private information are not compromised. As we strive towards making our devices smaller,...

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Main Author: Tan, Quan Quan
Other Authors: Thomas Peyrin
Format: Theses and Dissertations
Language:English
Published: 2019
Subjects:
Online Access:https://hdl.handle.net/10356/83155
http://hdl.handle.net/10220/49160
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-831552023-02-28T23:35:51Z Optimising implementation of block ciphers Tan, Quan Quan Thomas Peyrin School of Physical and Mathematical Sciences Science::Mathematics::Discrete mathematics::Cryptography With the increasing need to protect information digitally, the study of cryptography has become of paramount importance. The digital world requires strong and efficient encryption algorithms in order to ensure private information are not compromised. As we strive towards making our devices smaller, the cost of the cryptographic implementation becomes more significant. In this thesis, we will look at new optimising algorithms to reduce the number of exclusive or (XOR) boolean operations in the workhorses algorithms for encryption. The algorithms presented in this thesis are new and based on an improved version of the Boyar and Peralta's algorithm. It was motivated by a graph search approach to find a path towards the various targets. We will be drawing comparisons to the results obtained by various algorithms out there such as Paar's algorithm, Boyar and Peralta's algorithm. Overall, the results obtained from the new heuristic showed that this algorithm fares better than those mentioned above. Master of Science 2019-07-05T07:21:18Z 2019-12-06T15:12:54Z 2019-07-05T07:21:18Z 2019-12-06T15:12:54Z 2019 Thesis Tan, Q. Q. (2019). Optimising implementation of block ciphers. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/83155 http://hdl.handle.net/10220/49160 10.32657/10220/49160 en 65 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Science::Mathematics::Discrete mathematics::Cryptography
spellingShingle Science::Mathematics::Discrete mathematics::Cryptography
Tan, Quan Quan
Optimising implementation of block ciphers
description With the increasing need to protect information digitally, the study of cryptography has become of paramount importance. The digital world requires strong and efficient encryption algorithms in order to ensure private information are not compromised. As we strive towards making our devices smaller, the cost of the cryptographic implementation becomes more significant. In this thesis, we will look at new optimising algorithms to reduce the number of exclusive or (XOR) boolean operations in the workhorses algorithms for encryption. The algorithms presented in this thesis are new and based on an improved version of the Boyar and Peralta's algorithm. It was motivated by a graph search approach to find a path towards the various targets. We will be drawing comparisons to the results obtained by various algorithms out there such as Paar's algorithm, Boyar and Peralta's algorithm. Overall, the results obtained from the new heuristic showed that this algorithm fares better than those mentioned above.
author2 Thomas Peyrin
author_facet Thomas Peyrin
Tan, Quan Quan
format Theses and Dissertations
author Tan, Quan Quan
author_sort Tan, Quan Quan
title Optimising implementation of block ciphers
title_short Optimising implementation of block ciphers
title_full Optimising implementation of block ciphers
title_fullStr Optimising implementation of block ciphers
title_full_unstemmed Optimising implementation of block ciphers
title_sort optimising implementation of block ciphers
publishDate 2019
url https://hdl.handle.net/10356/83155
http://hdl.handle.net/10220/49160
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