2015
DOI: 10.1007/s11042-015-2861-5
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A novel block chaotic encryption scheme for remote sensing image

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Cited by 15 publications
(6 citation statements)
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“…However, the effect may be unsatisfactory for remote sensing images with large amount of data. In 2016, Ye and Huang adopted block encryption for big size remote sensing images, which significantly improved the encryption efficiency [45]. In the following year, based on the consideration of reducing satellite energy costs, Huang et al used compressed sensing to encrypt remote sensing images [46].…”
Section: Introductionmentioning
confidence: 99%
“…However, the effect may be unsatisfactory for remote sensing images with large amount of data. In 2016, Ye and Huang adopted block encryption for big size remote sensing images, which significantly improved the encryption efficiency [45]. In the following year, based on the consideration of reducing satellite energy costs, Huang et al used compressed sensing to encrypt remote sensing images [46].…”
Section: Introductionmentioning
confidence: 99%
“…Some researchers have also made use of techniques such as compressed sensing [30,31] combined with a chaotic cryptographic environment in order to achieve both compressions as well as encryption on remote sensing images. Unlike other methods, Ye et al [32] proposed using the chaotic Lorenz system as the basis for block-based remote sensing image encryption. A fast block circular permutation is added to their work.…”
Section: Introductionmentioning
confidence: 99%
“…A fast block circular permutation is added to their work. This method proposed by Ye et al [32] was shown to resist both known-plaintext and chosen-plaintext cryptanalysis attacks. Though AES is not common in encrypting images, Zhang et al [33] have successfully combined both AES and Piece-Wise Linear Chaotic Map (PWLCM) to create an effective new means for the secure transmission of remote sensing images and achieved fast encryption.…”
Section: Introductionmentioning
confidence: 99%
“…However, recent trends in the Rössler system have indicated a potential progress for engineering medical applications [31]. Moreover, some important implementations for Rössler systems are ultrafast signal processing [32], remote sensing image [33], and transformation of biological DNA sequence [34]. Relevant applications in this direction such as optoelectronic sensing [35], all-optical codification [36], probabilistic [37], telecom [38], and artificial intelligence [39] are based on chaotic models.…”
Section: Introductionmentioning
confidence: 99%