Deep Joint Encryption and Source-Channel Coding: An Image Privacy Protection Approach

11/05/2021
by   Jialong Xu, et al.
0

Joint source and channel coding (JSCC) has achieved great success due to the introduction of deep learning. Compared with traditional separate source channel coding (SSCC) schemes, the advantages of DL based JSCC (DJSCC) include high spectrum efficiency, high reconstruction quality, and the relief of "cliff effect". However, it is difficult to couple encryption-decryption mechanisms with DJSCC in contrast with traditional SSCC schemes, which hinders the practical usage of the emerging technology. To this end, our paper proposes a novel method called DL based joint encryption and source-channel coding (DJESCC) for images that can successfully protect the visual information of the plain image without significantly sacrificing image reconstruction performance. The idea of the design is using a neural network to conduct image encryption, which converts the plain image to a visually protected one with the consideration of its interaction with DJSCC. During the training stage, the proposed DJESCC method learns: 1) deep neural networks for image encryption and image decryption, and 2) an effective DJSCC network for image transmission in encrypted domain. Compared with the perceptual image encryption methods with DJSCC transmission, the DJESCC method achieves much better reconstruction performance and is more robust to ciphertext-only attacks.

READ FULL TEXT

page 1

page 3

page 5

page 7

page 8

page 10

page 11

research
08/19/2022

Deep Joint Source-Channel and Encryption Coding: Secure Semantic Communications

Deep learning driven joint source-channel coding (JSCC) for wireless ima...
research
11/25/2019

DeepJSCC-f: Deep Joint-Source Channel Coding of Images with Feedback

We consider wireless transmission of images in the presence of channel o...
research
11/30/2020

Wireless Image Transmission Using Deep Source Channel Coding With Attention Modules

Recent research on joint source channel coding (JSCC) for wireless commu...
research
01/05/2021

Deep Joint Source Channel Coding for WirelessImage Transmission with OFDM

We present a deep learning based joint source channel coding (JSCC) sche...
research
09/19/2023

Disentangled Information Bottleneck guided Privacy-Protective JSCC for Image Transmission

Joint source and channel coding (JSCC) has attracted increasing attentio...
research
09/15/2023

Privacy-Aware Joint Source-Channel Coding for image transmission based on Disentangled Information Bottleneck

Current privacy-aware joint source-channel coding (JSCC) works aim at av...
research
08/17/2022

Semantic Communications with Discrete-time Analog Transmission: A PAPR Perspective

Recent progress in deep learning (DL)-based joint source-channel coding ...

Please sign up or login with your details

Forgot password? Click here to reset