Hybrid pseudo-random number generator for cryptographic systems
For a powerful cryptographic system, high-quality random number streams are essential. Those raw pseudo-random number generators (PRNG) that are used to generate high-quality random numbers have some disadvantages, such as failure to meet the R4 security requirement. Therefore, use of random number...
Gespeichert in:
| Veröffentlicht in: | Nonlinear dynamics 2015-10, Vol.82 (1-2), p.239-248 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 248 |
|---|---|
| container_issue | 1-2 |
| container_start_page | 239 |
| container_title | Nonlinear dynamics |
| container_volume | 82 |
| creator | Avaroğlu, Erdinç Koyuncu, İsmail Özer, A. Bedri Türk, Mustafa |
| description | For a powerful cryptographic system, high-quality random number streams are essential. Those raw pseudo-random number generators (PRNG) that are used to generate high-quality random numbers have some disadvantages, such as failure to meet the R4 security requirement. Therefore, use of random number sequences generated by these generators in a cryptographic system puts the entire system at risk. This study proposes a new hybrid PRNG by means of an additional input introduced to transition and output functions used in a raw PRNG system in order to eliminate this risk. The additional inputs to the designed system have been implemented via the true random number generator developed by using the Sprott 94 G chaotic system on FPGA. The random number streams obtained from the recommended hybrid structure have been subjected to the NIST 800.22 and FIPS statistical test, which have given good results. According to these results, it has been proved that the recommended hybrid PRNG system meets the R4 security requirement and can be used in cryptographic applications. |
| doi_str_mv | 10.1007/s11071-015-2152-8 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2259455024</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2259455024</sourcerecordid><originalsourceid>FETCH-LOGICAL-c349t-29353dbac99a9646924b40f61f5650270384b7709824022c31c664c853d455173</originalsourceid><addsrcrecordid>eNp1kE1LxDAQhoMouK7-AG8Fz9HJd3MSWXRXWPCisLeQpum6i21q0h76781SwZOHYS7P887wInRL4J4AqIdECCiCgQhMiaC4PEMLIhTDVOrdOVqAphyDht0lukrpCACMQrlAj5upioe66JMf64Cj7erQFt3YVj4We9_5aIcQiyaPi1M_hH20_efBFWlKg2_TNbpo7FfyN797iT5ent9XG7x9W7-unrbYMa4HTDUTrK6s09pqyWX-puLQSNIIKYAqYCWvlAJdUg6UOkaclNyVWeJCEMWW6G7O7WP4Hn0azDGMscsnDaVCZwgozxSZKRdDStE3po-H1sbJEDCnnszck8k9mVNPpswOnZ2U2W7v41_y_9IP_uJo9A</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2259455024</pqid></control><display><type>article</type><title>Hybrid pseudo-random number generator for cryptographic systems</title><source>SpringerLink Journals - AutoHoldings</source><creator>Avaroğlu, Erdinç ; Koyuncu, İsmail ; Özer, A. Bedri ; Türk, Mustafa</creator><creatorcontrib>Avaroğlu, Erdinç ; Koyuncu, İsmail ; Özer, A. Bedri ; Türk, Mustafa</creatorcontrib><description>For a powerful cryptographic system, high-quality random number streams are essential. Those raw pseudo-random number generators (PRNG) that are used to generate high-quality random numbers have some disadvantages, such as failure to meet the R4 security requirement. Therefore, use of random number sequences generated by these generators in a cryptographic system puts the entire system at risk. This study proposes a new hybrid PRNG by means of an additional input introduced to transition and output functions used in a raw PRNG system in order to eliminate this risk. The additional inputs to the designed system have been implemented via the true random number generator developed by using the Sprott 94 G chaotic system on FPGA. The random number streams obtained from the recommended hybrid structure have been subjected to the NIST 800.22 and FIPS statistical test, which have given good results. According to these results, it has been proved that the recommended hybrid PRNG system meets the R4 security requirement and can be used in cryptographic applications.</description><identifier>ISSN: 0924-090X</identifier><identifier>EISSN: 1573-269X</identifier><identifier>DOI: 10.1007/s11071-015-2152-8</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Automotive Engineering ; Chaos theory ; Classical Mechanics ; Control ; Cryptography ; Dynamical Systems ; Engineering ; Generators ; Hybrid structures ; Hybrid systems ; Mechanical Engineering ; Original Paper ; Pseudorandom ; Random number sampling ; Random numbers ; Security ; Sequences ; Statistical tests ; Streams ; Vibration</subject><ispartof>Nonlinear dynamics, 2015-10, Vol.82 (1-2), p.239-248</ispartof><rights>Springer Science+Business Media Dordrecht 2015</rights><rights>Nonlinear Dynamics is a copyright of Springer, (2015). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c349t-29353dbac99a9646924b40f61f5650270384b7709824022c31c664c853d455173</citedby><cites>FETCH-LOGICAL-c349t-29353dbac99a9646924b40f61f5650270384b7709824022c31c664c853d455173</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11071-015-2152-8$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11071-015-2152-8$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,41487,42556,51318</link.rule.ids></links><search><creatorcontrib>Avaroğlu, Erdinç</creatorcontrib><creatorcontrib>Koyuncu, İsmail</creatorcontrib><creatorcontrib>Özer, A. Bedri</creatorcontrib><creatorcontrib>Türk, Mustafa</creatorcontrib><title>Hybrid pseudo-random number generator for cryptographic systems</title><title>Nonlinear dynamics</title><addtitle>Nonlinear Dyn</addtitle><description>For a powerful cryptographic system, high-quality random number streams are essential. Those raw pseudo-random number generators (PRNG) that are used to generate high-quality random numbers have some disadvantages, such as failure to meet the R4 security requirement. Therefore, use of random number sequences generated by these generators in a cryptographic system puts the entire system at risk. This study proposes a new hybrid PRNG by means of an additional input introduced to transition and output functions used in a raw PRNG system in order to eliminate this risk. The additional inputs to the designed system have been implemented via the true random number generator developed by using the Sprott 94 G chaotic system on FPGA. The random number streams obtained from the recommended hybrid structure have been subjected to the NIST 800.22 and FIPS statistical test, which have given good results. According to these results, it has been proved that the recommended hybrid PRNG system meets the R4 security requirement and can be used in cryptographic applications.</description><subject>Automotive Engineering</subject><subject>Chaos theory</subject><subject>Classical Mechanics</subject><subject>Control</subject><subject>Cryptography</subject><subject>Dynamical Systems</subject><subject>Engineering</subject><subject>Generators</subject><subject>Hybrid structures</subject><subject>Hybrid systems</subject><subject>Mechanical Engineering</subject><subject>Original Paper</subject><subject>Pseudorandom</subject><subject>Random number sampling</subject><subject>Random numbers</subject><subject>Security</subject><subject>Sequences</subject><subject>Statistical tests</subject><subject>Streams</subject><subject>Vibration</subject><issn>0924-090X</issn><issn>1573-269X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp1kE1LxDAQhoMouK7-AG8Fz9HJd3MSWXRXWPCisLeQpum6i21q0h76781SwZOHYS7P887wInRL4J4AqIdECCiCgQhMiaC4PEMLIhTDVOrdOVqAphyDht0lukrpCACMQrlAj5upioe66JMf64Cj7erQFt3YVj4We9_5aIcQiyaPi1M_hH20_efBFWlKg2_TNbpo7FfyN797iT5ent9XG7x9W7-unrbYMa4HTDUTrK6s09pqyWX-puLQSNIIKYAqYCWvlAJdUg6UOkaclNyVWeJCEMWW6G7O7WP4Hn0azDGMscsnDaVCZwgozxSZKRdDStE3po-H1sbJEDCnnszck8k9mVNPpswOnZ2U2W7v41_y_9IP_uJo9A</recordid><startdate>20151001</startdate><enddate>20151001</enddate><creator>Avaroğlu, Erdinç</creator><creator>Koyuncu, İsmail</creator><creator>Özer, A. Bedri</creator><creator>Türk, Mustafa</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20151001</creationdate><title>Hybrid pseudo-random number generator for cryptographic systems</title><author>Avaroğlu, Erdinç ; Koyuncu, İsmail ; Özer, A. Bedri ; Türk, Mustafa</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c349t-29353dbac99a9646924b40f61f5650270384b7709824022c31c664c853d455173</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Automotive Engineering</topic><topic>Chaos theory</topic><topic>Classical Mechanics</topic><topic>Control</topic><topic>Cryptography</topic><topic>Dynamical Systems</topic><topic>Engineering</topic><topic>Generators</topic><topic>Hybrid structures</topic><topic>Hybrid systems</topic><topic>Mechanical Engineering</topic><topic>Original Paper</topic><topic>Pseudorandom</topic><topic>Random number sampling</topic><topic>Random numbers</topic><topic>Security</topic><topic>Sequences</topic><topic>Statistical tests</topic><topic>Streams</topic><topic>Vibration</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Avaroğlu, Erdinç</creatorcontrib><creatorcontrib>Koyuncu, İsmail</creatorcontrib><creatorcontrib>Özer, A. Bedri</creatorcontrib><creatorcontrib>Türk, Mustafa</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Technology Collection (ProQuest)</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>Nonlinear dynamics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Avaroğlu, Erdinç</au><au>Koyuncu, İsmail</au><au>Özer, A. Bedri</au><au>Türk, Mustafa</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Hybrid pseudo-random number generator for cryptographic systems</atitle><jtitle>Nonlinear dynamics</jtitle><stitle>Nonlinear Dyn</stitle><date>2015-10-01</date><risdate>2015</risdate><volume>82</volume><issue>1-2</issue><spage>239</spage><epage>248</epage><pages>239-248</pages><issn>0924-090X</issn><eissn>1573-269X</eissn><abstract>For a powerful cryptographic system, high-quality random number streams are essential. Those raw pseudo-random number generators (PRNG) that are used to generate high-quality random numbers have some disadvantages, such as failure to meet the R4 security requirement. Therefore, use of random number sequences generated by these generators in a cryptographic system puts the entire system at risk. This study proposes a new hybrid PRNG by means of an additional input introduced to transition and output functions used in a raw PRNG system in order to eliminate this risk. The additional inputs to the designed system have been implemented via the true random number generator developed by using the Sprott 94 G chaotic system on FPGA. The random number streams obtained from the recommended hybrid structure have been subjected to the NIST 800.22 and FIPS statistical test, which have given good results. According to these results, it has been proved that the recommended hybrid PRNG system meets the R4 security requirement and can be used in cryptographic applications.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s11071-015-2152-8</doi><tpages>10</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0924-090X |
| ispartof | Nonlinear dynamics, 2015-10, Vol.82 (1-2), p.239-248 |
| issn | 0924-090X 1573-269X |
| language | eng |
| recordid | cdi_proquest_journals_2259455024 |
| source | SpringerLink Journals - AutoHoldings |
| subjects | Automotive Engineering Chaos theory Classical Mechanics Control Cryptography Dynamical Systems Engineering Generators Hybrid structures Hybrid systems Mechanical Engineering Original Paper Pseudorandom Random number sampling Random numbers Security Sequences Statistical tests Streams Vibration |
| title | Hybrid pseudo-random number generator for cryptographic systems |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T09%3A45%3A20IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Hybrid%20pseudo-random%20number%20generator%20for%20cryptographic%20systems&rft.jtitle=Nonlinear%20dynamics&rft.au=Avaro%C4%9Flu,%20Erdin%C3%A7&rft.date=2015-10-01&rft.volume=82&rft.issue=1-2&rft.spage=239&rft.epage=248&rft.pages=239-248&rft.issn=0924-090X&rft.eissn=1573-269X&rft_id=info:doi/10.1007/s11071-015-2152-8&rft_dat=%3Cproquest_cross%3E2259455024%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2259455024&rft_id=info:pmid/&rfr_iscdi=true |