A novel image encryption technique based on Henon chaotic map and S8 symmetric group
- Author
- KHAN, Majid1 ; SHAH, Tariq1
[1] Department of Mathematics, Quiad-i-Azam University, Islamabad, Pakistan - Source
Neural computing & applications (Print). 2014, Vol 25, Num 7-8, pp 1717-1722, 6 p ; ref : 31 ref
- ISSN
- 0941-0643
- Scientific domain
- Computer science; Neurology
- Publisher
- Springer, London
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- Chaotic maps S-boxes Sg symmetric group
- Keyword (fr)
- Analyse statistique Chaos Clé symétrique Cryptographie Groupe symétrie Substitution Traitement image Vision ordinateur
- Keyword (en)
- Statistical analysis Chaos Symmetric key Cryptography Symmetry group Substitution Image processing Computer vision
- Keyword (es)
- Análisis estadístico Caos Llave simétrica Criptografía Grupo simetría Substitución Procesamiento imagen Visión ordenador
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C03 Pattern recognition. Digital image processing. Computational geometry
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A04 Signal and communications theory / 001D04A04E Cryptography
- Discipline
- Computer science : theoretical automation and systems Telecommunications and information theory
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 28891577
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1007/s00521-014-1663-4 
https://dx.doi.org/10.1007/s00521-014-1663-4
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