With the rapid progress of artificial intelligence, various perception networks were
constructed to enable Internet of Things (IoT) applications, thereby imposing formidable …

To enhance the performance limitations of existing image encryption schemes using
compressive sensing (CS) technique in withstanding plaintext analysis-based security attack …

Compressive sensing (CS) can realize compression and encryption simultaneously.
However, the current sampling-reconstruction algorithms based on CS are time-consuming …

This paper proposes a new fast image compression–encryption scheme based on
compressive sensing and parallel blocks. To reduce the encryption time in the proposed …

In this paper, a complex-valued Zadoff–Chu measurement matrix is proposed and used in
an image-based quantized compressive sensing (CS) scheme. The results of theoretical …

Wireless sensor networks (WSNs) composed of resource-limited devices face challenges
related to network congestion and security threats. In this regard, this study introduces a …

When using untrusted third parties to compress and transmit images in real‐life scenarios, it
is vital to encrypt them before compression. In order to better address the issues of low …

Here, a novel image‐based quantized compressive sensing (QCS) framework based on
complex‐valued Vandermonde (Vander) matrix is proposed. In the proposed QCS …

The measurement matrix used influences the performance of image reconstruction in
compressed sensing. To enhance the performance of image reconstruction in compressed …

The application of complex measurement matrices in image-compressed sensing (CS) has
attracted significant attention; however, effectively combining their structural, random, and …