A modified approach to improve the performance of AES using feistel structure
In encryption algorithm design, apart from the security performance, processing performance and the cost of the implementation are very important trade-off parameters. A most popular and widely adopted symmetric encryption algorithm is the Advanced Encryption Standard (AES). It suffers from the dema...
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2018
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my-upm-ir.688192019-06-18T02:38:37Z A modified approach to improve the performance of AES using feistel structure 2018-01 Al-Ansi, Afeef Yahya Ahmed In encryption algorithm design, apart from the security performance, processing performance and the cost of the implementation are very important trade-off parameters. A most popular and widely adopted symmetric encryption algorithm is the Advanced Encryption Standard (AES). It suffers from the demand for the performance efficiency. To improve its computational cost, we propose a modification of the AES technique. Having found that out of the four major operations in the AES; MixColumn is the one that takes huge amount of computing time and for which replacement with look-up table adds additional space constrain, we propose replacing the MixColumns with a Feistel Structure that exits and is the main engine of the Data Encryption Standard (DES). Empirical performance analysis on our proposed modified AES shows a significant reduction in the processing time by up to 67% on the average. The method support parallel implementation with little overhead. Data encryption (Computer science) Data Encryption Standard 2018-01 Thesis http://psasir.upm.edu.my/id/eprint/68819/ http://psasir.upm.edu.my/id/eprint/68819/1/FSKTM%202018%2027%20IR.pdf text en public masters Universiti Putra Malaysia Data encryption (Computer science) Data Encryption Standard |
| institution |
Universiti Putra Malaysia |
| collection |
PSAS Institutional Repository |
| language |
English |
| topic |
Data encryption (Computer science) Data Encryption Standard |
| spellingShingle |
Data encryption (Computer science) Data Encryption Standard Al-Ansi, Afeef Yahya Ahmed A modified approach to improve the performance of AES using feistel structure |
| description |
In encryption algorithm design, apart from the security performance, processing performance and the cost of the implementation are very important trade-off parameters. A most popular and widely adopted symmetric encryption algorithm is the Advanced Encryption Standard (AES). It suffers from the demand for the performance efficiency. To improve its computational cost, we propose a modification of the AES technique. Having found that out of the four major operations in the AES; MixColumn is the one that takes huge amount of computing time and for which replacement with look-up table adds additional space constrain, we propose replacing the MixColumns with a Feistel Structure that exits and is the main engine of the Data Encryption Standard (DES). Empirical performance analysis on our proposed modified AES shows a significant reduction in the processing time by up to 67% on the average. The method support parallel implementation with little overhead. |
| format |
Thesis |
| qualification_level |
Master's degree |
| author |
Al-Ansi, Afeef Yahya Ahmed |
| author_facet |
Al-Ansi, Afeef Yahya Ahmed |
| author_sort |
Al-Ansi, Afeef Yahya Ahmed |
| title |
A modified approach to improve the performance of AES using feistel structure |
| title_short |
A modified approach to improve the performance of AES using feistel structure |
| title_full |
A modified approach to improve the performance of AES using feistel structure |
| title_fullStr |
A modified approach to improve the performance of AES using feistel structure |
| title_full_unstemmed |
A modified approach to improve the performance of AES using feistel structure |
| title_sort |
modified approach to improve the performance of aes using feistel structure |
| granting_institution |
Universiti Putra Malaysia |
| publishDate |
2018 |
| url |
http://psasir.upm.edu.my/id/eprint/68819/1/FSKTM%202018%2027%20IR.pdf |
| _version_ |
1747812638095572992 |