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- W2968446786 abstract "Encryptions on IoT devices are important because such type of network requires security at its best. In the research conducted by us, we have designed an encryption scheme for images which uses the three techniques, namely, chaos, neural networks, and the DNA encoding scheme. It is a chaos-based pseudorandom sequence generator which uses the neural network for generating the sequence. The chaotic algorithm for encryption is a heterogeneous system as it uses the two types of hyperchaotic maps which are the Lorenz attractor and the Rossler system. In the encryption algorithm, the neural network controls various operations of the encryption scheme. The algorithm further incorporates the use of DNA-based bit permutation and substitution methods for the pixel bits of the image. Every neuron of the neural network uses the equation of chaotic maps as its transfer function. The system performs comparatively better as the two hyperchaotic maps have been used in the process with their nonlinearity property. Security analyses prove the fact with more evidence." @default.
- W2968446786 created "2019-08-22" @default.
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- W2968446786 date "2019-08-11" @default.
- W2968446786 modified "2023-10-14" @default.
- W2968446786 title "Image Encryption in IoT Devices Using DNA and Hyperchaotic Neural Network" @default.
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- W2968446786 doi "https://doi.org/10.1007/978-981-13-9574-1_15" @default.
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