CryptoQNRG: a new framework for evaluation of cryptographic strength in quantum and pseudorandom number generation for key-scheduling algorithms
Abstract In a cryptosystem, a cipher's security is directly dependent on a key-schedule or key-scheduling algorithm (KSA) or that is used for both encryption and decryption. The random-number-based KSA adds another layer of security and prevents hackers from performing cryptanalysis. Several pr...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Saini, A. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2023 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| Übergeordnetes Werk: |
Enthalten in: The journal of supercomputing - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1987, 79(2023), 11 vom: 08. März, Seite 12219-12237 |
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| Übergeordnetes Werk: |
volume:79 ; year:2023 ; number:11 ; day:08 ; month:03 ; pages:12219-12237 |
| Links: |
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| DOI / URN: |
10.1007/s11227-023-05115-4 |
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SPR051845989 |
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| 520 | |a Abstract In a cryptosystem, a cipher's security is directly dependent on a key-schedule or key-scheduling algorithm (KSA) or that is used for both encryption and decryption. The random-number-based KSA adds another layer of security and prevents hackers from performing cryptanalysis. Several previous studies have investigated the strength of a cipher's encryption process. The strength evaluation of the key-scheduling process has received less attention that can lead to weaknesses in the overall encryption process. This paper proposes a new framework consisting of cryptographic strength evaluation criteria for random number generators (RNG)-based KSAs. Our framework (CryptoQNRG) evaluates different key-schedules based on pseudorandom and quantum random number generators with a set of tests. There are test suites that compare the strength of KSAs for different block ciphers. To the best of our knowledge this is the first time that a framework is built to compare the strength of KSAs incorporating RNGs and various block ciphers. CryptoQNRG comprises of four tests: Frequency, Bit_Correlation, Bit_Interfold, and Bit_Entropy. The tests are used to explore cryptographic properties such as unpredictability, balance of bits, correlation, confusion, and diffusion in the subkeys generated by the RNG-based KSA. We have evaluated the most common KSAs with different block ciphers and a significant outcome of the proposed framework is the distinction between strong and weak RNG-based KSAs. | ||
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| 700 | 1 | |a Tsokanos, A. |4 aut | |
| 700 | 1 | |a Kirner, R. |4 aut | |
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10.1007/s11227-023-05115-4 doi (DE-627)SPR051845989 (SPR)s11227-023-05115-4-e DE-627 ger DE-627 rakwb eng Saini, A. verfasserin aut CryptoQNRG: a new framework for evaluation of cryptographic strength in quantum and pseudorandom number generation for key-scheduling algorithms 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract In a cryptosystem, a cipher's security is directly dependent on a key-schedule or key-scheduling algorithm (KSA) or that is used for both encryption and decryption. The random-number-based KSA adds another layer of security and prevents hackers from performing cryptanalysis. Several previous studies have investigated the strength of a cipher's encryption process. The strength evaluation of the key-scheduling process has received less attention that can lead to weaknesses in the overall encryption process. This paper proposes a new framework consisting of cryptographic strength evaluation criteria for random number generators (RNG)-based KSAs. Our framework (CryptoQNRG) evaluates different key-schedules based on pseudorandom and quantum random number generators with a set of tests. There are test suites that compare the strength of KSAs for different block ciphers. To the best of our knowledge this is the first time that a framework is built to compare the strength of KSAs incorporating RNGs and various block ciphers. CryptoQNRG comprises of four tests: Frequency, Bit_Correlation, Bit_Interfold, and Bit_Entropy. The tests are used to explore cryptographic properties such as unpredictability, balance of bits, correlation, confusion, and diffusion in the subkeys generated by the RNG-based KSA. We have evaluated the most common KSAs with different block ciphers and a significant outcome of the proposed framework is the distinction between strong and weak RNG-based KSAs. Pseudorandom number generator (dpeaa)DE-He213 Quantum random number generator (dpeaa)DE-He213 Block cipher (dpeaa)DE-He213 Key-schedule algorithms (dpeaa)DE-He213 Tsokanos, A. aut Kirner, R. aut Enthalten in The journal of supercomputing Dordrecht [u.a.] : Springer Science + Business Media B.V, 1987 79(2023), 11 vom: 08. März, Seite 12219-12237 (DE-627)271350202 (DE-600)1479917-0 1573-0484 nnns volume:79 year:2023 number:11 day:08 month:03 pages:12219-12237 https://dx.doi.org/10.1007/s11227-023-05115-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 79 2023 11 08 03 12219-12237 |
| spelling |
10.1007/s11227-023-05115-4 doi (DE-627)SPR051845989 (SPR)s11227-023-05115-4-e DE-627 ger DE-627 rakwb eng Saini, A. verfasserin aut CryptoQNRG: a new framework for evaluation of cryptographic strength in quantum and pseudorandom number generation for key-scheduling algorithms 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract In a cryptosystem, a cipher's security is directly dependent on a key-schedule or key-scheduling algorithm (KSA) or that is used for both encryption and decryption. The random-number-based KSA adds another layer of security and prevents hackers from performing cryptanalysis. Several previous studies have investigated the strength of a cipher's encryption process. The strength evaluation of the key-scheduling process has received less attention that can lead to weaknesses in the overall encryption process. This paper proposes a new framework consisting of cryptographic strength evaluation criteria for random number generators (RNG)-based KSAs. Our framework (CryptoQNRG) evaluates different key-schedules based on pseudorandom and quantum random number generators with a set of tests. There are test suites that compare the strength of KSAs for different block ciphers. To the best of our knowledge this is the first time that a framework is built to compare the strength of KSAs incorporating RNGs and various block ciphers. CryptoQNRG comprises of four tests: Frequency, Bit_Correlation, Bit_Interfold, and Bit_Entropy. The tests are used to explore cryptographic properties such as unpredictability, balance of bits, correlation, confusion, and diffusion in the subkeys generated by the RNG-based KSA. We have evaluated the most common KSAs with different block ciphers and a significant outcome of the proposed framework is the distinction between strong and weak RNG-based KSAs. Pseudorandom number generator (dpeaa)DE-He213 Quantum random number generator (dpeaa)DE-He213 Block cipher (dpeaa)DE-He213 Key-schedule algorithms (dpeaa)DE-He213 Tsokanos, A. aut Kirner, R. aut Enthalten in The journal of supercomputing Dordrecht [u.a.] : Springer Science + Business Media B.V, 1987 79(2023), 11 vom: 08. März, Seite 12219-12237 (DE-627)271350202 (DE-600)1479917-0 1573-0484 nnns volume:79 year:2023 number:11 day:08 month:03 pages:12219-12237 https://dx.doi.org/10.1007/s11227-023-05115-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 79 2023 11 08 03 12219-12237 |
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10.1007/s11227-023-05115-4 doi (DE-627)SPR051845989 (SPR)s11227-023-05115-4-e DE-627 ger DE-627 rakwb eng Saini, A. verfasserin aut CryptoQNRG: a new framework for evaluation of cryptographic strength in quantum and pseudorandom number generation for key-scheduling algorithms 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract In a cryptosystem, a cipher's security is directly dependent on a key-schedule or key-scheduling algorithm (KSA) or that is used for both encryption and decryption. The random-number-based KSA adds another layer of security and prevents hackers from performing cryptanalysis. Several previous studies have investigated the strength of a cipher's encryption process. The strength evaluation of the key-scheduling process has received less attention that can lead to weaknesses in the overall encryption process. This paper proposes a new framework consisting of cryptographic strength evaluation criteria for random number generators (RNG)-based KSAs. Our framework (CryptoQNRG) evaluates different key-schedules based on pseudorandom and quantum random number generators with a set of tests. There are test suites that compare the strength of KSAs for different block ciphers. To the best of our knowledge this is the first time that a framework is built to compare the strength of KSAs incorporating RNGs and various block ciphers. CryptoQNRG comprises of four tests: Frequency, Bit_Correlation, Bit_Interfold, and Bit_Entropy. The tests are used to explore cryptographic properties such as unpredictability, balance of bits, correlation, confusion, and diffusion in the subkeys generated by the RNG-based KSA. We have evaluated the most common KSAs with different block ciphers and a significant outcome of the proposed framework is the distinction between strong and weak RNG-based KSAs. Pseudorandom number generator (dpeaa)DE-He213 Quantum random number generator (dpeaa)DE-He213 Block cipher (dpeaa)DE-He213 Key-schedule algorithms (dpeaa)DE-He213 Tsokanos, A. aut Kirner, R. aut Enthalten in The journal of supercomputing Dordrecht [u.a.] : Springer Science + Business Media B.V, 1987 79(2023), 11 vom: 08. März, Seite 12219-12237 (DE-627)271350202 (DE-600)1479917-0 1573-0484 nnns volume:79 year:2023 number:11 day:08 month:03 pages:12219-12237 https://dx.doi.org/10.1007/s11227-023-05115-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 79 2023 11 08 03 12219-12237 |
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10.1007/s11227-023-05115-4 doi (DE-627)SPR051845989 (SPR)s11227-023-05115-4-e DE-627 ger DE-627 rakwb eng Saini, A. verfasserin aut CryptoQNRG: a new framework for evaluation of cryptographic strength in quantum and pseudorandom number generation for key-scheduling algorithms 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract In a cryptosystem, a cipher's security is directly dependent on a key-schedule or key-scheduling algorithm (KSA) or that is used for both encryption and decryption. The random-number-based KSA adds another layer of security and prevents hackers from performing cryptanalysis. Several previous studies have investigated the strength of a cipher's encryption process. The strength evaluation of the key-scheduling process has received less attention that can lead to weaknesses in the overall encryption process. This paper proposes a new framework consisting of cryptographic strength evaluation criteria for random number generators (RNG)-based KSAs. Our framework (CryptoQNRG) evaluates different key-schedules based on pseudorandom and quantum random number generators with a set of tests. There are test suites that compare the strength of KSAs for different block ciphers. To the best of our knowledge this is the first time that a framework is built to compare the strength of KSAs incorporating RNGs and various block ciphers. CryptoQNRG comprises of four tests: Frequency, Bit_Correlation, Bit_Interfold, and Bit_Entropy. The tests are used to explore cryptographic properties such as unpredictability, balance of bits, correlation, confusion, and diffusion in the subkeys generated by the RNG-based KSA. We have evaluated the most common KSAs with different block ciphers and a significant outcome of the proposed framework is the distinction between strong and weak RNG-based KSAs. Pseudorandom number generator (dpeaa)DE-He213 Quantum random number generator (dpeaa)DE-He213 Block cipher (dpeaa)DE-He213 Key-schedule algorithms (dpeaa)DE-He213 Tsokanos, A. aut Kirner, R. aut Enthalten in The journal of supercomputing Dordrecht [u.a.] : Springer Science + Business Media B.V, 1987 79(2023), 11 vom: 08. März, Seite 12219-12237 (DE-627)271350202 (DE-600)1479917-0 1573-0484 nnns volume:79 year:2023 number:11 day:08 month:03 pages:12219-12237 https://dx.doi.org/10.1007/s11227-023-05115-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 79 2023 11 08 03 12219-12237 |
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10.1007/s11227-023-05115-4 doi (DE-627)SPR051845989 (SPR)s11227-023-05115-4-e DE-627 ger DE-627 rakwb eng Saini, A. verfasserin aut CryptoQNRG: a new framework for evaluation of cryptographic strength in quantum and pseudorandom number generation for key-scheduling algorithms 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract In a cryptosystem, a cipher's security is directly dependent on a key-schedule or key-scheduling algorithm (KSA) or that is used for both encryption and decryption. The random-number-based KSA adds another layer of security and prevents hackers from performing cryptanalysis. Several previous studies have investigated the strength of a cipher's encryption process. The strength evaluation of the key-scheduling process has received less attention that can lead to weaknesses in the overall encryption process. This paper proposes a new framework consisting of cryptographic strength evaluation criteria for random number generators (RNG)-based KSAs. Our framework (CryptoQNRG) evaluates different key-schedules based on pseudorandom and quantum random number generators with a set of tests. There are test suites that compare the strength of KSAs for different block ciphers. To the best of our knowledge this is the first time that a framework is built to compare the strength of KSAs incorporating RNGs and various block ciphers. CryptoQNRG comprises of four tests: Frequency, Bit_Correlation, Bit_Interfold, and Bit_Entropy. The tests are used to explore cryptographic properties such as unpredictability, balance of bits, correlation, confusion, and diffusion in the subkeys generated by the RNG-based KSA. We have evaluated the most common KSAs with different block ciphers and a significant outcome of the proposed framework is the distinction between strong and weak RNG-based KSAs. Pseudorandom number generator (dpeaa)DE-He213 Quantum random number generator (dpeaa)DE-He213 Block cipher (dpeaa)DE-He213 Key-schedule algorithms (dpeaa)DE-He213 Tsokanos, A. aut Kirner, R. aut Enthalten in The journal of supercomputing Dordrecht [u.a.] : Springer Science + Business Media B.V, 1987 79(2023), 11 vom: 08. März, Seite 12219-12237 (DE-627)271350202 (DE-600)1479917-0 1573-0484 nnns volume:79 year:2023 number:11 day:08 month:03 pages:12219-12237 https://dx.doi.org/10.1007/s11227-023-05115-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 79 2023 11 08 03 12219-12237 |
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Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract In a cryptosystem, a cipher's security is directly dependent on a key-schedule or key-scheduling algorithm (KSA) or that is used for both encryption and decryption. The random-number-based KSA adds another layer of security and prevents hackers from performing cryptanalysis. Several previous studies have investigated the strength of a cipher's encryption process. The strength evaluation of the key-scheduling process has received less attention that can lead to weaknesses in the overall encryption process. This paper proposes a new framework consisting of cryptographic strength evaluation criteria for random number generators (RNG)-based KSAs. Our framework (CryptoQNRG) evaluates different key-schedules based on pseudorandom and quantum random number generators with a set of tests. There are test suites that compare the strength of KSAs for different block ciphers. To the best of our knowledge this is the first time that a framework is built to compare the strength of KSAs incorporating RNGs and various block ciphers. CryptoQNRG comprises of four tests: Frequency, Bit_Correlation, Bit_Interfold, and Bit_Entropy. The tests are used to explore cryptographic properties such as unpredictability, balance of bits, correlation, confusion, and diffusion in the subkeys generated by the RNG-based KSA. 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Saini, A. misc Pseudorandom number generator misc Quantum random number generator misc Block cipher misc Key-schedule algorithms CryptoQNRG: a new framework for evaluation of cryptographic strength in quantum and pseudorandom number generation for key-scheduling algorithms |
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CryptoQNRG: a new framework for evaluation of cryptographic strength in quantum and pseudorandom number generation for key-scheduling algorithms Pseudorandom number generator (dpeaa)DE-He213 Quantum random number generator (dpeaa)DE-He213 Block cipher (dpeaa)DE-He213 Key-schedule algorithms (dpeaa)DE-He213 |
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cryptoqnrg: a new framework for evaluation of cryptographic strength in quantum and pseudorandom number generation for key-scheduling algorithms |
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CryptoQNRG: a new framework for evaluation of cryptographic strength in quantum and pseudorandom number generation for key-scheduling algorithms |
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Abstract In a cryptosystem, a cipher's security is directly dependent on a key-schedule or key-scheduling algorithm (KSA) or that is used for both encryption and decryption. The random-number-based KSA adds another layer of security and prevents hackers from performing cryptanalysis. Several previous studies have investigated the strength of a cipher's encryption process. The strength evaluation of the key-scheduling process has received less attention that can lead to weaknesses in the overall encryption process. This paper proposes a new framework consisting of cryptographic strength evaluation criteria for random number generators (RNG)-based KSAs. Our framework (CryptoQNRG) evaluates different key-schedules based on pseudorandom and quantum random number generators with a set of tests. There are test suites that compare the strength of KSAs for different block ciphers. To the best of our knowledge this is the first time that a framework is built to compare the strength of KSAs incorporating RNGs and various block ciphers. CryptoQNRG comprises of four tests: Frequency, Bit_Correlation, Bit_Interfold, and Bit_Entropy. The tests are used to explore cryptographic properties such as unpredictability, balance of bits, correlation, confusion, and diffusion in the subkeys generated by the RNG-based KSA. We have evaluated the most common KSAs with different block ciphers and a significant outcome of the proposed framework is the distinction between strong and weak RNG-based KSAs. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Abstract In a cryptosystem, a cipher's security is directly dependent on a key-schedule or key-scheduling algorithm (KSA) or that is used for both encryption and decryption. The random-number-based KSA adds another layer of security and prevents hackers from performing cryptanalysis. Several previous studies have investigated the strength of a cipher's encryption process. The strength evaluation of the key-scheduling process has received less attention that can lead to weaknesses in the overall encryption process. This paper proposes a new framework consisting of cryptographic strength evaluation criteria for random number generators (RNG)-based KSAs. Our framework (CryptoQNRG) evaluates different key-schedules based on pseudorandom and quantum random number generators with a set of tests. There are test suites that compare the strength of KSAs for different block ciphers. To the best of our knowledge this is the first time that a framework is built to compare the strength of KSAs incorporating RNGs and various block ciphers. CryptoQNRG comprises of four tests: Frequency, Bit_Correlation, Bit_Interfold, and Bit_Entropy. The tests are used to explore cryptographic properties such as unpredictability, balance of bits, correlation, confusion, and diffusion in the subkeys generated by the RNG-based KSA. We have evaluated the most common KSAs with different block ciphers and a significant outcome of the proposed framework is the distinction between strong and weak RNG-based KSAs. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstract_unstemmed |
Abstract In a cryptosystem, a cipher's security is directly dependent on a key-schedule or key-scheduling algorithm (KSA) or that is used for both encryption and decryption. The random-number-based KSA adds another layer of security and prevents hackers from performing cryptanalysis. Several previous studies have investigated the strength of a cipher's encryption process. The strength evaluation of the key-scheduling process has received less attention that can lead to weaknesses in the overall encryption process. This paper proposes a new framework consisting of cryptographic strength evaluation criteria for random number generators (RNG)-based KSAs. Our framework (CryptoQNRG) evaluates different key-schedules based on pseudorandom and quantum random number generators with a set of tests. There are test suites that compare the strength of KSAs for different block ciphers. To the best of our knowledge this is the first time that a framework is built to compare the strength of KSAs incorporating RNGs and various block ciphers. CryptoQNRG comprises of four tests: Frequency, Bit_Correlation, Bit_Interfold, and Bit_Entropy. The tests are used to explore cryptographic properties such as unpredictability, balance of bits, correlation, confusion, and diffusion in the subkeys generated by the RNG-based KSA. We have evaluated the most common KSAs with different block ciphers and a significant outcome of the proposed framework is the distinction between strong and weak RNG-based KSAs. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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CryptoQNRG: a new framework for evaluation of cryptographic strength in quantum and pseudorandom number generation for key-scheduling algorithms |
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https://dx.doi.org/10.1007/s11227-023-05115-4 |
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| score |
7.4017677 |