A Novel Approach for Pseudo-Random Seed Generation
Random sequences play an important role in all aspects of Cryptography. All cryptographic systems and protocols are based on secrets and can only be as strong as the random sequence generators they use to generate those secrets. The best cryptographic scheme becomes insecure once its secrets can be predicted or determined. In modern cryptography random sequences are used (1) to generate session keys and initialization vectors for symmetric block ciphers, (2) to generate random values for various digital signature schemes such as DSA and (3) to produce seeds which are used in math routines to get values such as large prime numbers for RSA and also in security protocols. This paper presents the design of RAMG, a pseudorandom seed generator, using a secure symmetric block cipher algorithm. We describe the design principles used for the development of the generator as well as its principal components. We also discuss the idea of using it as a pseudo-random bit generator (DRBG).
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Instituto Politécnico Nacional, Centro de Investigación en Computación
2013
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oai:scielo:S1405-554620130001000072013-06-11A Novel Approach for Pseudo-Random Seed GenerationPelaiz,SachaTejera,Renier DRGB seed symmetric encryption cipher Random sequences play an important role in all aspects of Cryptography. All cryptographic systems and protocols are based on secrets and can only be as strong as the random sequence generators they use to generate those secrets. The best cryptographic scheme becomes insecure once its secrets can be predicted or determined. In modern cryptography random sequences are used (1) to generate session keys and initialization vectors for symmetric block ciphers, (2) to generate random values for various digital signature schemes such as DSA and (3) to produce seeds which are used in math routines to get values such as large prime numbers for RSA and also in security protocols. This paper presents the design of RAMG, a pseudorandom seed generator, using a secure symmetric block cipher algorithm. We describe the design principles used for the development of the generator as well as its principal components. We also discuss the idea of using it as a pseudo-random bit generator (DRBG).info:eu-repo/semantics/openAccessInstituto Politécnico Nacional, Centro de Investigación en ComputaciónComputación y Sistemas v.17 n.1 20132013-03-01info:eu-repo/semantics/articletext/htmlhttp://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1405-55462013000100007en |
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Pelaiz,Sacha Tejera,Renier |
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Pelaiz,Sacha Tejera,Renier A Novel Approach for Pseudo-Random Seed Generation |
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Pelaiz,Sacha Tejera,Renier |
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Pelaiz,Sacha |
| title |
A Novel Approach for Pseudo-Random Seed Generation |
| title_short |
A Novel Approach for Pseudo-Random Seed Generation |
| title_full |
A Novel Approach for Pseudo-Random Seed Generation |
| title_fullStr |
A Novel Approach for Pseudo-Random Seed Generation |
| title_full_unstemmed |
A Novel Approach for Pseudo-Random Seed Generation |
| title_sort |
novel approach for pseudo-random seed generation |
| description |
Random sequences play an important role in all aspects of Cryptography. All cryptographic systems and protocols are based on secrets and can only be as strong as the random sequence generators they use to generate those secrets. The best cryptographic scheme becomes insecure once its secrets can be predicted or determined. In modern cryptography random sequences are used (1) to generate session keys and initialization vectors for symmetric block ciphers, (2) to generate random values for various digital signature schemes such as DSA and (3) to produce seeds which are used in math routines to get values such as large prime numbers for RSA and also in security protocols. This paper presents the design of RAMG, a pseudorandom seed generator, using a secure symmetric block cipher algorithm. We describe the design principles used for the development of the generator as well as its principal components. We also discuss the idea of using it as a pseudo-random bit generator (DRBG). |
| publisher |
Instituto Politécnico Nacional, Centro de Investigación en Computación |
| publishDate |
2013 |
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http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1405-55462013000100007 |
| work_keys_str_mv |
AT pelaizsacha anovelapproachforpseudorandomseedgeneration AT tejerarenier anovelapproachforpseudorandomseedgeneration AT pelaizsacha novelapproachforpseudorandomseedgeneration AT tejerarenier novelapproachforpseudorandomseedgeneration |
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