A Review on Biological Inspired Computation in Cryptology
Cryptology is a field that concerned with cryptography and cryptanalysis. Cryptography, which is a key technology in providing a secure transmission of information, is a study of designing strong cryptographic algorithms, while cryptanalysis is a study of breaking the cipher. Recently biological app...
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Format: | Article |
Language: | English |
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Penerbit UTM Press
2005
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Online Access: | http://eprints.utm.my/3248/1/JIT_15Jun2005.pdf |
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author | Ibrahim, Subariah Maarof, Mohd Aizaini |
author_facet | Ibrahim, Subariah Maarof, Mohd Aizaini |
author_sort | Ibrahim, Subariah |
collection | ePrints |
description | Cryptology is a field that concerned with cryptography and cryptanalysis. Cryptography, which is a key technology in providing a secure transmission of information, is a study of designing strong cryptographic algorithms, while cryptanalysis is a study of breaking the cipher. Recently biological approaches provide inspiration in solving problems from various fields. This paper reviews major works in the application of biological inspired computational (BIC) paradigm in cryptology. The paper focuses on three BIC approaches, namely, genetic algorithm (GA), artificial neural network (ANN) and artificial immune system (AIS). The findings show that the research on applications of biological approaches in cryptology is minimal as compared to other fields. To date only ANN and GA have been used in cryptanalysis and design of cryptographic primitives and protocols. Based on similarities that AIS has with ANN and GA, this paper provides insights for potential application of AIS in cryptology for further research. |
first_indexed | 2024-03-05T18:01:01Z |
format | Article |
id | utm.eprints-3248 |
institution | Universiti Teknologi Malaysia - ePrints |
language | English |
last_indexed | 2024-03-05T18:01:01Z |
publishDate | 2005 |
publisher | Penerbit UTM Press |
record_format | dspace |
spelling | utm.eprints-32482017-11-01T04:17:34Z http://eprints.utm.my/3248/ A Review on Biological Inspired Computation in Cryptology Ibrahim, Subariah Maarof, Mohd Aizaini QA75 Electronic computers. Computer science Cryptology is a field that concerned with cryptography and cryptanalysis. Cryptography, which is a key technology in providing a secure transmission of information, is a study of designing strong cryptographic algorithms, while cryptanalysis is a study of breaking the cipher. Recently biological approaches provide inspiration in solving problems from various fields. This paper reviews major works in the application of biological inspired computational (BIC) paradigm in cryptology. The paper focuses on three BIC approaches, namely, genetic algorithm (GA), artificial neural network (ANN) and artificial immune system (AIS). The findings show that the research on applications of biological approaches in cryptology is minimal as compared to other fields. To date only ANN and GA have been used in cryptanalysis and design of cryptographic primitives and protocols. Based on similarities that AIS has with ANN and GA, this paper provides insights for potential application of AIS in cryptology for further research. Penerbit UTM Press 2005-06 Article PeerReviewed application/pdf en http://eprints.utm.my/3248/1/JIT_15Jun2005.pdf Ibrahim, Subariah and Maarof, Mohd Aizaini (2005) A Review on Biological Inspired Computation in Cryptology. Jurnal Teknologi Maklumat, 17 (1). pp. 90-98. ISSN 0128-3790 |
spellingShingle | QA75 Electronic computers. Computer science Ibrahim, Subariah Maarof, Mohd Aizaini A Review on Biological Inspired Computation in Cryptology |
title | A Review on Biological Inspired Computation in Cryptology |
title_full | A Review on Biological Inspired Computation in Cryptology |
title_fullStr | A Review on Biological Inspired Computation in Cryptology |
title_full_unstemmed | A Review on Biological Inspired Computation in Cryptology |
title_short | A Review on Biological Inspired Computation in Cryptology |
title_sort | review on biological inspired computation in cryptology |
topic | QA75 Electronic computers. Computer science |
url | http://eprints.utm.my/3248/1/JIT_15Jun2005.pdf |
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