Avalanche Analysis of Extended Feistel Network

In general, block ciphers consist of one top-level structural model into which the round function F is plugged into. In order to analyze the security of a cipher, it is also important to study the intrinsic security provided by these top-level structural models. Most research focuses in determinin...

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Main Authors: Ibrahim, Subariah, Maarof, Mohd. Aizaini, Idris, Norbik Bashah
Format: Conference or Workshop Item
Language:English
Published: 2005
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Online Access:http://eprints.utm.my/id/eprint/3258/1/Subariah_PARS05.pdf
http://eprints.utm.my/id/eprint/3258/
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spelling my.utm.32582017-08-30T07:45:08Z http://eprints.utm.my/id/eprint/3258/ Avalanche Analysis of Extended Feistel Network Ibrahim, Subariah Maarof, Mohd. Aizaini Idris, Norbik Bashah QA75 Electronic computers. Computer science In general, block ciphers consist of one top-level structural model into which the round function F is plugged into. In order to analyze the security of a cipher, it is also important to study the intrinsic security provided by these top-level structural models. Most research focuses in determining F functions that yield secure Feistel Networks (FN). This paper analyses the structural models of a generalized concept of FN known as Extended Feistel Network (EFN). EFN splits the input blocks into n > 2 sub-blocks. Like conventional FN, EFN consists of a series of rounds whereby at least one sub-block is subjected to an F-function. The work examines the models in terms of its avalanche criterion in order to determine the optimal scheme suitable for the design of a flexible block size cipher. The analysis shows that EFN Type-II is the most optimal structural model for this design. 2005-05 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/3258/1/Subariah_PARS05.pdf Ibrahim, Subariah and Maarof, Mohd. Aizaini and Idris, Norbik Bashah (2005) Avalanche Analysis of Extended Feistel Network. In: Postgraduate Annual research Seminar, May 17-18, 2005, FSKSM, UTM.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Ibrahim, Subariah
Maarof, Mohd. Aizaini
Idris, Norbik Bashah
Avalanche Analysis of Extended Feistel Network
description In general, block ciphers consist of one top-level structural model into which the round function F is plugged into. In order to analyze the security of a cipher, it is also important to study the intrinsic security provided by these top-level structural models. Most research focuses in determining F functions that yield secure Feistel Networks (FN). This paper analyses the structural models of a generalized concept of FN known as Extended Feistel Network (EFN). EFN splits the input blocks into n > 2 sub-blocks. Like conventional FN, EFN consists of a series of rounds whereby at least one sub-block is subjected to an F-function. The work examines the models in terms of its avalanche criterion in order to determine the optimal scheme suitable for the design of a flexible block size cipher. The analysis shows that EFN Type-II is the most optimal structural model for this design.
format Conference or Workshop Item
author Ibrahim, Subariah
Maarof, Mohd. Aizaini
Idris, Norbik Bashah
author_facet Ibrahim, Subariah
Maarof, Mohd. Aizaini
Idris, Norbik Bashah
author_sort Ibrahim, Subariah
title Avalanche Analysis of Extended Feistel Network
title_short Avalanche Analysis of Extended Feistel Network
title_full Avalanche Analysis of Extended Feistel Network
title_fullStr Avalanche Analysis of Extended Feistel Network
title_full_unstemmed Avalanche Analysis of Extended Feistel Network
title_sort avalanche analysis of extended feistel network
publishDate 2005
url http://eprints.utm.my/id/eprint/3258/1/Subariah_PARS05.pdf
http://eprints.utm.my/id/eprint/3258/
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score 13.18916