Image encryption using DNA addition combining with chaotic maps
By Qiang Zhang, Ling Guo, Xiaopeng Wei. Mathematical and computer modelling, 2010
399 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/a52505ed1dbac8d2ea9d21c8752182da80e7e92b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
In Computer Vision and Pattern Recognition
- Yicong Zhou
- Premkumar Natarajan
- Yue Wu
- George Saveriades
- M. B. Farah
- Gelan Yang
- A. Kachouri
- Ramzi Guesmi
In Molecular Biology
- M. B. Farah
- Premkumar Natarajan
- Yue Wu
- A. Kachouri
- Ramzi Guesmi
- Mounir Samet
- Joseph P. Noonan
- Sos S. Agaian
Citations in the corpus
- Shannon Entropy based Randomness Measurement and Test for Image Encryption (2011, methodology): “It is clear that both conventional histogram analysis and Shannon entropy test lack properties 1), 3) and 4) and that autocorrelation analysis, UACI and NPCR attain the property 1) 2) and 3) while not 4).”
- Image encryption using the two-dimensional logistic chaotic map (2012, background): “Since 1997, Fridrich applied chaos to encryption of digital images for the first time [15], chaos-based image encryption methods are researched for years [13] [16] [17] [18] [19] [20] [21] [22].”
- A novel chaos-based image encryption using DNA sequence operation and Secure Hash Algorithm SHA-2 (2015, background): “Zhang et al. [24] developed an image encryption schemebasedonDNAsequenceadditionoperationand chaos.”
- NPCR and UACI Randomness Tests for Image Encryption (2011, methodology): “However, unlike binary sequence encryption, image encryption [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] is a relatively new area with distinctive characteristics including 1) it is a type of two-dimensional data with high information redundancy [15]; and 2) it usually contains of a large number…”