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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Av N. | |
dc.contributor.author | Kumar N.A. | |
dc.date.accessioned | 2021-05-05T10:15:54Z | - |
dc.date.available | 2021-05-05T10:15:54Z | - |
dc.date.issued | 2020 | |
dc.identifier.citation | 2020 11th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2020 , Vol. , , p. - | en_US |
dc.identifier.uri | https://doi.org/10.1109/ICCCNT49239.2020.9225312 | |
dc.identifier.uri | http://idr.nitk.ac.in/jspui/handle/123456789/14868 | - |
dc.description.abstract | Cryptography is a powerful means of delivering information in a secure manner. Over the years, many image encryption algorithms have been proposed based on the chaotic system to protect the digital image against cryptography attacks. In chaotic encryption, it jumbles the image to vary the framework of the image. This makes it difficult for the attacker to retrieve the original image. This paper introduces an efficient image encryption algorithm incorporating the genetic algorithm, bit plane slicing and bit plane rotation of the digital image. The digital image is sliced into eight planes and each plane is well rotated to give a fully encrypted image after the application of the Genetic Algorithm on each pixel of the image. This makes it less prone to attacks. For decryption, we perform the operations in the reverse order. The performance of this algorithm is measured using various similarity measures like Structural Similarity Index Measure (SSIM). The results exhibit that the proposed scheme provides a stronger level of encryption and an enhanced security level. © 2020 IEEE. | en_US |
dc.title | Image Encryption Using Genetic Algorithm and Bit-Slice Rotation | en_US |
dc.type | Conference Paper | en_US |
Appears in Collections: | 2. Conference Papers |
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