Joint compressed sensing and JPEG coding based secure compression scheme in OFDM-PON

Abstract

This paper proposes a secure compressed communication scheme in orthogonal frequency division multiplexing passive optical network (OFDM-PON) based on joint compressed sensing and JPEG coding (JCS-JPEG) and multilevel encryption, with a focus to its application in secure storage and transmission. Specifically, working with the under-sampling data of compressed sensing (CS), we combine the JPEG coding standard to deepen compression into the storage and transmission link while inserting random factors into Deoxyribonucleic Acid (DNA) encryption to improve the security of the physical layer. The rationale behind the joint compression is that the data after CS is suitable for block quantization and entropy encoding methods to compress further, similar to the JPEG encoding. For the compression of multimedia data, we demonstrate that it can achieve a satisfactory reconstruction effect and provide an additional 5 to 8 times compression ratio on images. Moreover, we show that the DCT coefficient encryption and random DNA encryption can be seamlessly incorporated into the encryption in CS through the two dimensions of a 2D-chaotic map, thus realizing secure compression and transmission when under-sampling. The proposed scheme is expected to reduce the computational complexity and storage pressure of light resource-constrained sensors, simultaneously improve bandwidth utilization and sensitive information protection in OFDM-PON.