학술논문

Encrypting Multiple Images using Stacked Autoencoders
Document Type
Conference
Source
2019 International Conference on Vision Towards Emerging Trends in Communication and Networking (ViTECoN) Vision Towards Emerging Trends in Communication and Networking (ViTECoN), 2019 International Conference on. :1-6 Mar, 2019
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Fields, Waves and Electromagnetics
Photonics and Electrooptics
Robotics and Control Systems
Signal Processing and Analysis
Chaotic communication
Encryption
Correlation
Training
Market research
Neural networks
stacked autoencoder
parallel computing
chaotic sequence
Language
Abstract
Encryption of images has been carried out by chaos-based algorithms using a single sequence for a long time. The existing schemes are not secure enough for batch image encryption. A batch image encryption scheme using a stacked autoencoder network is proposed in this paper wherein two chaotic sequences are used. A shuffling matrix is produced by the first sequence which is used to shuffle image pixels on each input image, and the other sequence generates a series of independent sequences which are used to confuse the permuted images with the encrypted images. In this scheme, parallel computing of the stacked autoencoder reduces the run-time complexity and encryption effect is enhanced. The efficiency of the used scheme is evaluated by a series of analysis techniques. The results and analysis concluded that the proposed scheme is very efficient and is able to resist statistical attack and differential attack.