| Title | Image Encryption Using Genetic Algorithm and Bit-Slice Rotation |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Av, N., Kumar, N. A. |
| Conference Name | 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT) |
| Date Published | jul |
| Keywords | bit plane rotation, Bit Plane Slice, bit plane slicing, bit-slice rotation, chaotic encryption, composability, cryptography, cryptography attacks, cyber physical systems, digital image, efficient encryption, Encryption, fully encrypted image, Generators, genetic algorithm, genetic algorithms, Genetics, Image coding, image encryption, image encryption algorithms, Indexes, pubcrawl, Resiliency, Sociology, SSIM, structural similarity index measure |
| 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. |
| DOI | 10.1109/ICCCNT49239.2020.9225312 |
| Citation Key | av_image_2020 |
Image Encryption Using Genetic Algorithm and Bit-Slice Rotation