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Erschienen in:
2020 | OriginalPaper | Buchkapitel
69. Image Encryption-Then-Compression System for Secure Transmission via Hybrid Henon Chaotic Map
verfasst von : P. Sridevi, J. Suguna
Erschienen in: Proceedings of International Conference on Artificial Intelligence, Smart Grid and Smart City Applications
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Abstract
In recent years, the environments like military, government, medical field, cloud computing, and social networks deal with a large number of confidential images transmitted over the Internet. Therefore, it is very important to protect the image from unauthorized access during the transmission in an open network. Encryption is the most convenient technique to guarantee the security of images over public networks. To maximize the network utilization, the compression technique is used to reduce the size of the image by the channel provider who is having plenty of computational resources. This paper proposes an image Encryption-Then-Compression (ETC) system. Hybrid Chaotic method is used to encrypt the image, where Arnold map is used for confusion and Henon map is used for diffusion. Asymmetric Numerical Method (ANM) is used to compress the encrypted image. The experiment result shows that the proposed system is better in terms of compression performance, security, and computation time.