A fast image encryption algorithm based on chaotic map
Derived from Sine map and iterative chaotic map with infinite collapse (ICMIC), a new two-dimensional Sine ICMIC modulation map (2D-SIMM) is proposed based on a close-loop modulation coupling (CMC) model, and its chaotic performance is analyzed by means of phase diagram, Lyapunov exponent spectrum a...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Liu, Wenhao [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016transfer abstract |
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| Schlagwörter: |
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| Umfang: |
11 |
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| Übergeordnetes Werk: |
Enthalten in: Performance enhancement strategies of a hybrid solar chimney power plant integrated with photovoltaic panel - Pratap Singh, Ajeet ELSEVIER, 2020, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:84 ; year:2016 ; pages:26-36 ; extent:11 |
| Links: |
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| DOI / URN: |
10.1016/j.optlaseng.2016.03.019 |
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| 520 | |a Derived from Sine map and iterative chaotic map with infinite collapse (ICMIC), a new two-dimensional Sine ICMIC modulation map (2D-SIMM) is proposed based on a close-loop modulation coupling (CMC) model, and its chaotic performance is analyzed by means of phase diagram, Lyapunov exponent spectrum and complexity. It shows that this map has good ergodicity, hyperchaotic behavior, large maximum Lyapunov exponent and high complexity. Based on this map, a fast image encryption algorithm is proposed. In this algorithm, the confusion and diffusion processes are combined for one stage. Chaotic shift transform (CST) is proposed to efficiently change the image pixel positions, and the row and column substitutions are applied to scramble the pixel values simultaneously. The simulation and analysis results show that this algorithm has high security, low time complexity, and the abilities of resisting statistical analysis, differential, brute-force, known-plaintext and chosen-plaintext attacks. | ||
| 520 | |a Derived from Sine map and iterative chaotic map with infinite collapse (ICMIC), a new two-dimensional Sine ICMIC modulation map (2D-SIMM) is proposed based on a close-loop modulation coupling (CMC) model, and its chaotic performance is analyzed by means of phase diagram, Lyapunov exponent spectrum and complexity. It shows that this map has good ergodicity, hyperchaotic behavior, large maximum Lyapunov exponent and high complexity. Based on this map, a fast image encryption algorithm is proposed. In this algorithm, the confusion and diffusion processes are combined for one stage. Chaotic shift transform (CST) is proposed to efficiently change the image pixel positions, and the row and column substitutions are applied to scramble the pixel values simultaneously. The simulation and analysis results show that this algorithm has high security, low time complexity, and the abilities of resisting statistical analysis, differential, brute-force, known-plaintext and chosen-plaintext attacks. | ||
| 650 | 7 | |a Chaos |2 Elsevier | |
| 650 | 7 | |a Image encryption |2 Elsevier | |
| 650 | 7 | |a Close-loop modulation coupling model |2 Elsevier | |
| 650 | 7 | |a Chaotic shift transform |2 Elsevier | |
| 700 | 1 | |a Sun, Kehui |4 oth | |
| 700 | 1 | |a Zhu, Congxu |4 oth | |
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10.1016/j.optlaseng.2016.03.019 doi GBVA2016003000018.pica (DE-627)ELV024198064 (ELSEVIER)S0143-8166(16)30017-3 DE-627 ger DE-627 rakwb eng 530 530 DE-600 620 VZ 50.70 bkl 83.65 bkl 52.57 bkl 52.56 bkl Liu, Wenhao verfasserin aut A fast image encryption algorithm based on chaotic map 2016transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Derived from Sine map and iterative chaotic map with infinite collapse (ICMIC), a new two-dimensional Sine ICMIC modulation map (2D-SIMM) is proposed based on a close-loop modulation coupling (CMC) model, and its chaotic performance is analyzed by means of phase diagram, Lyapunov exponent spectrum and complexity. It shows that this map has good ergodicity, hyperchaotic behavior, large maximum Lyapunov exponent and high complexity. Based on this map, a fast image encryption algorithm is proposed. In this algorithm, the confusion and diffusion processes are combined for one stage. Chaotic shift transform (CST) is proposed to efficiently change the image pixel positions, and the row and column substitutions are applied to scramble the pixel values simultaneously. The simulation and analysis results show that this algorithm has high security, low time complexity, and the abilities of resisting statistical analysis, differential, brute-force, known-plaintext and chosen-plaintext attacks. Derived from Sine map and iterative chaotic map with infinite collapse (ICMIC), a new two-dimensional Sine ICMIC modulation map (2D-SIMM) is proposed based on a close-loop modulation coupling (CMC) model, and its chaotic performance is analyzed by means of phase diagram, Lyapunov exponent spectrum and complexity. It shows that this map has good ergodicity, hyperchaotic behavior, large maximum Lyapunov exponent and high complexity. Based on this map, a fast image encryption algorithm is proposed. In this algorithm, the confusion and diffusion processes are combined for one stage. Chaotic shift transform (CST) is proposed to efficiently change the image pixel positions, and the row and column substitutions are applied to scramble the pixel values simultaneously. The simulation and analysis results show that this algorithm has high security, low time complexity, and the abilities of resisting statistical analysis, differential, brute-force, known-plaintext and chosen-plaintext attacks. Chaos Elsevier Image encryption Elsevier Close-loop modulation coupling model Elsevier Chaotic shift transform Elsevier Sun, Kehui oth Zhu, Congxu oth Enthalten in Elsevier Science Pratap Singh, Ajeet ELSEVIER Performance enhancement strategies of a hybrid solar chimney power plant integrated with photovoltaic panel 2020 Amsterdam [u.a.] (DE-627)ELV004269535 volume:84 year:2016 pages:26-36 extent:11 https://doi.org/10.1016/j.optlaseng.2016.03.019 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 50.70 Energie: Allgemeines VZ 83.65 Versorgungswirtschaft VZ 52.57 Energiespeicherung VZ 52.56 Regenerative Energieformen alternative Energieformen VZ AR 84 2016 26-36 11 045F 530 |
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10.1016/j.optlaseng.2016.03.019 doi GBVA2016003000018.pica (DE-627)ELV024198064 (ELSEVIER)S0143-8166(16)30017-3 DE-627 ger DE-627 rakwb eng 530 530 DE-600 620 VZ 50.70 bkl 83.65 bkl 52.57 bkl 52.56 bkl Liu, Wenhao verfasserin aut A fast image encryption algorithm based on chaotic map 2016transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Derived from Sine map and iterative chaotic map with infinite collapse (ICMIC), a new two-dimensional Sine ICMIC modulation map (2D-SIMM) is proposed based on a close-loop modulation coupling (CMC) model, and its chaotic performance is analyzed by means of phase diagram, Lyapunov exponent spectrum and complexity. It shows that this map has good ergodicity, hyperchaotic behavior, large maximum Lyapunov exponent and high complexity. Based on this map, a fast image encryption algorithm is proposed. In this algorithm, the confusion and diffusion processes are combined for one stage. Chaotic shift transform (CST) is proposed to efficiently change the image pixel positions, and the row and column substitutions are applied to scramble the pixel values simultaneously. The simulation and analysis results show that this algorithm has high security, low time complexity, and the abilities of resisting statistical analysis, differential, brute-force, known-plaintext and chosen-plaintext attacks. Derived from Sine map and iterative chaotic map with infinite collapse (ICMIC), a new two-dimensional Sine ICMIC modulation map (2D-SIMM) is proposed based on a close-loop modulation coupling (CMC) model, and its chaotic performance is analyzed by means of phase diagram, Lyapunov exponent spectrum and complexity. It shows that this map has good ergodicity, hyperchaotic behavior, large maximum Lyapunov exponent and high complexity. Based on this map, a fast image encryption algorithm is proposed. In this algorithm, the confusion and diffusion processes are combined for one stage. Chaotic shift transform (CST) is proposed to efficiently change the image pixel positions, and the row and column substitutions are applied to scramble the pixel values simultaneously. The simulation and analysis results show that this algorithm has high security, low time complexity, and the abilities of resisting statistical analysis, differential, brute-force, known-plaintext and chosen-plaintext attacks. Chaos Elsevier Image encryption Elsevier Close-loop modulation coupling model Elsevier Chaotic shift transform Elsevier Sun, Kehui oth Zhu, Congxu oth Enthalten in Elsevier Science Pratap Singh, Ajeet ELSEVIER Performance enhancement strategies of a hybrid solar chimney power plant integrated with photovoltaic panel 2020 Amsterdam [u.a.] (DE-627)ELV004269535 volume:84 year:2016 pages:26-36 extent:11 https://doi.org/10.1016/j.optlaseng.2016.03.019 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 50.70 Energie: Allgemeines VZ 83.65 Versorgungswirtschaft VZ 52.57 Energiespeicherung VZ 52.56 Regenerative Energieformen alternative Energieformen VZ AR 84 2016 26-36 11 045F 530 |
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10.1016/j.optlaseng.2016.03.019 doi GBVA2016003000018.pica (DE-627)ELV024198064 (ELSEVIER)S0143-8166(16)30017-3 DE-627 ger DE-627 rakwb eng 530 530 DE-600 620 VZ 50.70 bkl 83.65 bkl 52.57 bkl 52.56 bkl Liu, Wenhao verfasserin aut A fast image encryption algorithm based on chaotic map 2016transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Derived from Sine map and iterative chaotic map with infinite collapse (ICMIC), a new two-dimensional Sine ICMIC modulation map (2D-SIMM) is proposed based on a close-loop modulation coupling (CMC) model, and its chaotic performance is analyzed by means of phase diagram, Lyapunov exponent spectrum and complexity. It shows that this map has good ergodicity, hyperchaotic behavior, large maximum Lyapunov exponent and high complexity. Based on this map, a fast image encryption algorithm is proposed. In this algorithm, the confusion and diffusion processes are combined for one stage. Chaotic shift transform (CST) is proposed to efficiently change the image pixel positions, and the row and column substitutions are applied to scramble the pixel values simultaneously. The simulation and analysis results show that this algorithm has high security, low time complexity, and the abilities of resisting statistical analysis, differential, brute-force, known-plaintext and chosen-plaintext attacks. Derived from Sine map and iterative chaotic map with infinite collapse (ICMIC), a new two-dimensional Sine ICMIC modulation map (2D-SIMM) is proposed based on a close-loop modulation coupling (CMC) model, and its chaotic performance is analyzed by means of phase diagram, Lyapunov exponent spectrum and complexity. It shows that this map has good ergodicity, hyperchaotic behavior, large maximum Lyapunov exponent and high complexity. Based on this map, a fast image encryption algorithm is proposed. In this algorithm, the confusion and diffusion processes are combined for one stage. Chaotic shift transform (CST) is proposed to efficiently change the image pixel positions, and the row and column substitutions are applied to scramble the pixel values simultaneously. The simulation and analysis results show that this algorithm has high security, low time complexity, and the abilities of resisting statistical analysis, differential, brute-force, known-plaintext and chosen-plaintext attacks. Chaos Elsevier Image encryption Elsevier Close-loop modulation coupling model Elsevier Chaotic shift transform Elsevier Sun, Kehui oth Zhu, Congxu oth Enthalten in Elsevier Science Pratap Singh, Ajeet ELSEVIER Performance enhancement strategies of a hybrid solar chimney power plant integrated with photovoltaic panel 2020 Amsterdam [u.a.] (DE-627)ELV004269535 volume:84 year:2016 pages:26-36 extent:11 https://doi.org/10.1016/j.optlaseng.2016.03.019 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 50.70 Energie: Allgemeines VZ 83.65 Versorgungswirtschaft VZ 52.57 Energiespeicherung VZ 52.56 Regenerative Energieformen alternative Energieformen VZ AR 84 2016 26-36 11 045F 530 |
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10.1016/j.optlaseng.2016.03.019 doi GBVA2016003000018.pica (DE-627)ELV024198064 (ELSEVIER)S0143-8166(16)30017-3 DE-627 ger DE-627 rakwb eng 530 530 DE-600 620 VZ 50.70 bkl 83.65 bkl 52.57 bkl 52.56 bkl Liu, Wenhao verfasserin aut A fast image encryption algorithm based on chaotic map 2016transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Derived from Sine map and iterative chaotic map with infinite collapse (ICMIC), a new two-dimensional Sine ICMIC modulation map (2D-SIMM) is proposed based on a close-loop modulation coupling (CMC) model, and its chaotic performance is analyzed by means of phase diagram, Lyapunov exponent spectrum and complexity. It shows that this map has good ergodicity, hyperchaotic behavior, large maximum Lyapunov exponent and high complexity. Based on this map, a fast image encryption algorithm is proposed. In this algorithm, the confusion and diffusion processes are combined for one stage. Chaotic shift transform (CST) is proposed to efficiently change the image pixel positions, and the row and column substitutions are applied to scramble the pixel values simultaneously. The simulation and analysis results show that this algorithm has high security, low time complexity, and the abilities of resisting statistical analysis, differential, brute-force, known-plaintext and chosen-plaintext attacks. Derived from Sine map and iterative chaotic map with infinite collapse (ICMIC), a new two-dimensional Sine ICMIC modulation map (2D-SIMM) is proposed based on a close-loop modulation coupling (CMC) model, and its chaotic performance is analyzed by means of phase diagram, Lyapunov exponent spectrum and complexity. It shows that this map has good ergodicity, hyperchaotic behavior, large maximum Lyapunov exponent and high complexity. Based on this map, a fast image encryption algorithm is proposed. In this algorithm, the confusion and diffusion processes are combined for one stage. Chaotic shift transform (CST) is proposed to efficiently change the image pixel positions, and the row and column substitutions are applied to scramble the pixel values simultaneously. The simulation and analysis results show that this algorithm has high security, low time complexity, and the abilities of resisting statistical analysis, differential, brute-force, known-plaintext and chosen-plaintext attacks. Chaos Elsevier Image encryption Elsevier Close-loop modulation coupling model Elsevier Chaotic shift transform Elsevier Sun, Kehui oth Zhu, Congxu oth Enthalten in Elsevier Science Pratap Singh, Ajeet ELSEVIER Performance enhancement strategies of a hybrid solar chimney power plant integrated with photovoltaic panel 2020 Amsterdam [u.a.] (DE-627)ELV004269535 volume:84 year:2016 pages:26-36 extent:11 https://doi.org/10.1016/j.optlaseng.2016.03.019 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 50.70 Energie: Allgemeines VZ 83.65 Versorgungswirtschaft VZ 52.57 Energiespeicherung VZ 52.56 Regenerative Energieformen alternative Energieformen VZ AR 84 2016 26-36 11 045F 530 |
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10.1016/j.optlaseng.2016.03.019 doi GBVA2016003000018.pica (DE-627)ELV024198064 (ELSEVIER)S0143-8166(16)30017-3 DE-627 ger DE-627 rakwb eng 530 530 DE-600 620 VZ 50.70 bkl 83.65 bkl 52.57 bkl 52.56 bkl Liu, Wenhao verfasserin aut A fast image encryption algorithm based on chaotic map 2016transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Derived from Sine map and iterative chaotic map with infinite collapse (ICMIC), a new two-dimensional Sine ICMIC modulation map (2D-SIMM) is proposed based on a close-loop modulation coupling (CMC) model, and its chaotic performance is analyzed by means of phase diagram, Lyapunov exponent spectrum and complexity. It shows that this map has good ergodicity, hyperchaotic behavior, large maximum Lyapunov exponent and high complexity. Based on this map, a fast image encryption algorithm is proposed. In this algorithm, the confusion and diffusion processes are combined for one stage. Chaotic shift transform (CST) is proposed to efficiently change the image pixel positions, and the row and column substitutions are applied to scramble the pixel values simultaneously. The simulation and analysis results show that this algorithm has high security, low time complexity, and the abilities of resisting statistical analysis, differential, brute-force, known-plaintext and chosen-plaintext attacks. Derived from Sine map and iterative chaotic map with infinite collapse (ICMIC), a new two-dimensional Sine ICMIC modulation map (2D-SIMM) is proposed based on a close-loop modulation coupling (CMC) model, and its chaotic performance is analyzed by means of phase diagram, Lyapunov exponent spectrum and complexity. It shows that this map has good ergodicity, hyperchaotic behavior, large maximum Lyapunov exponent and high complexity. Based on this map, a fast image encryption algorithm is proposed. In this algorithm, the confusion and diffusion processes are combined for one stage. Chaotic shift transform (CST) is proposed to efficiently change the image pixel positions, and the row and column substitutions are applied to scramble the pixel values simultaneously. The simulation and analysis results show that this algorithm has high security, low time complexity, and the abilities of resisting statistical analysis, differential, brute-force, known-plaintext and chosen-plaintext attacks. Chaos Elsevier Image encryption Elsevier Close-loop modulation coupling model Elsevier Chaotic shift transform Elsevier Sun, Kehui oth Zhu, Congxu oth Enthalten in Elsevier Science Pratap Singh, Ajeet ELSEVIER Performance enhancement strategies of a hybrid solar chimney power plant integrated with photovoltaic panel 2020 Amsterdam [u.a.] (DE-627)ELV004269535 volume:84 year:2016 pages:26-36 extent:11 https://doi.org/10.1016/j.optlaseng.2016.03.019 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 50.70 Energie: Allgemeines VZ 83.65 Versorgungswirtschaft VZ 52.57 Energiespeicherung VZ 52.56 Regenerative Energieformen alternative Energieformen VZ AR 84 2016 26-36 11 045F 530 |
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It shows that this map has good ergodicity, hyperchaotic behavior, large maximum Lyapunov exponent and high complexity. Based on this map, a fast image encryption algorithm is proposed. In this algorithm, the confusion and diffusion processes are combined for one stage. Chaotic shift transform (CST) is proposed to efficiently change the image pixel positions, and the row and column substitutions are applied to scramble the pixel values simultaneously. 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Derived from Sine map and iterative chaotic map with infinite collapse (ICMIC), a new two-dimensional Sine ICMIC modulation map (2D-SIMM) is proposed based on a close-loop modulation coupling (CMC) model, and its chaotic performance is analyzed by means of phase diagram, Lyapunov exponent spectrum and complexity. It shows that this map has good ergodicity, hyperchaotic behavior, large maximum Lyapunov exponent and high complexity. Based on this map, a fast image encryption algorithm is proposed. In this algorithm, the confusion and diffusion processes are combined for one stage. Chaotic shift transform (CST) is proposed to efficiently change the image pixel positions, and the row and column substitutions are applied to scramble the pixel values simultaneously. The simulation and analysis results show that this algorithm has high security, low time complexity, and the abilities of resisting statistical analysis, differential, brute-force, known-plaintext and chosen-plaintext attacks. |
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Derived from Sine map and iterative chaotic map with infinite collapse (ICMIC), a new two-dimensional Sine ICMIC modulation map (2D-SIMM) is proposed based on a close-loop modulation coupling (CMC) model, and its chaotic performance is analyzed by means of phase diagram, Lyapunov exponent spectrum and complexity. It shows that this map has good ergodicity, hyperchaotic behavior, large maximum Lyapunov exponent and high complexity. Based on this map, a fast image encryption algorithm is proposed. In this algorithm, the confusion and diffusion processes are combined for one stage. Chaotic shift transform (CST) is proposed to efficiently change the image pixel positions, and the row and column substitutions are applied to scramble the pixel values simultaneously. The simulation and analysis results show that this algorithm has high security, low time complexity, and the abilities of resisting statistical analysis, differential, brute-force, known-plaintext and chosen-plaintext attacks. |
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Derived from Sine map and iterative chaotic map with infinite collapse (ICMIC), a new two-dimensional Sine ICMIC modulation map (2D-SIMM) is proposed based on a close-loop modulation coupling (CMC) model, and its chaotic performance is analyzed by means of phase diagram, Lyapunov exponent spectrum and complexity. It shows that this map has good ergodicity, hyperchaotic behavior, large maximum Lyapunov exponent and high complexity. Based on this map, a fast image encryption algorithm is proposed. In this algorithm, the confusion and diffusion processes are combined for one stage. Chaotic shift transform (CST) is proposed to efficiently change the image pixel positions, and the row and column substitutions are applied to scramble the pixel values simultaneously. The simulation and analysis results show that this algorithm has high security, low time complexity, and the abilities of resisting statistical analysis, differential, brute-force, known-plaintext and chosen-plaintext attacks. |
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