  Network-connected unmanned aerial vehicle (UAV) communications is a common
solution to achieve high-rate image transmission. The broadcast nature of these
wireless networks makes this communication vulnerable to eavesdropping. This
paper considers the problem of compressed secret image transmission between two
nodes, in the presence of a passive eavesdropper. In this paper, we use auto
encoder/decoder convolutional neural networks, which by using deep learning
algorithms, allow us to compress/decompress images. Also we use network
physical layer features to generate high rate artificial noise to secure the
data. Using features of the channel with applying artificial noises, reduce the
channel capacity of the unauthorized users and prevent eavesdropper from
detecting received data. Our simulation experiments show that for received data
with SNR fewer than 5 in the authorized node, the MSE is less than 0.05.
