Hyperchaotic Image Encryption Based on Multiple Bit Permutation and Diffusion

Image security is a hot topic in the era of Internet and big data. Hyperchaotic image encryption, which can effectively prevent unauthorized users from accessing image content, has become more and more popular in the community of image security. In general, such approaches conduct encryption on pixel-level, bit-level, DNA-level data or their combinations, lacking diversity of processed data levels and limiting security. This paper proposes a novel hyperchaotic image encryption scheme via multiple bit permutation and diffusion, namely MBPD, to cope with this issue. Specifically, a four-dimensional hyperchaotic system with three positive Lyapunov exponents is firstly proposed. Second, a hyperchaotic sequence is generated from the proposed hyperchaotic system for consequent encryption operations. Third, multiple bit permutation and diffusion (permutation and/or diffusion can be conducted with 1–8 or more bits) determined by the hyperchaotic sequence is designed. Finally, the proposed MBPD is applied to image encryption. We conduct extensive experiments on a couple of public test images to validate the proposed MBPD. The results verify that the MBPD can effectively resist different types of attacks and has better performance than the compared popular encryption methods

Hyper-Chaotic Color Image Encryption Based on Transformed Zigzag Diffusion and RNA Operation

With increasing utilization of digital multimedia and the Internet, protection on this digital information from cracks has become a hot topic in the communication field. As a path for protecting digital visual information, image encryption plays a crucial role in modern society. In this paper, a novel six-dimensional (6D) hyper-chaotic encryption scheme with three-dimensional (3D) transformed Zigzag diffusion and RNA operation (HCZRNA) is proposed for color images. For this HCZRNA scheme, four phases are included. First, three pseudo-random matrices are generated from the 6D hyper-chaotic system. Second, plaintext color image would be permuted by using the first pseudo-random matrix to convert to an initial cipher image. Third, the initial cipher image is placed on cube for 3D transformed Zigzag diffusion using the second pseudo-random matrix. Finally, the diffused image is converted to RNA codons array and updated through RNA codons tables, which are generated by codons and the third pseudo-random matrix. After four phases, a cipher image is obtained, and the experimental results show that HCZRNA has high resistance against well-known attacks and it is superior to other schemes

Survey on coexistence of heterogeneous wireless networks in 2.4 GHz and TV white spaces

International audienc

Ecology-based Coexistence Mechanism in Heterogeneous Cognitive Radio Networks

International audienc

Multi-layer based multi-path routing algorithm for maximizing spectrum availability

International audienc

Mirror-image-based disjoint multi-paths routing algorithm for maximizing communication efficiency

Abstract The growing demands of high-speed and stable next generation 5G cellular networks become the main stream in these years. In order to overcome a bottleneck of high-speed communication which is caused by limited spectrum resources, cognitive radio (CR) network has been proposed as a promising technology in 5G networks. However, in CR networks, primary user (PU) networks lead another novel NP-Hard routing problem on continuous data transmission, especially for some low-latency scenario. To settle this problem, a new mirror-image-based disjoint multi-path routing algorithm (MIDMRA) is presented in this paper. A mirror image algorithm is employed in MIDMRA to simplify the routing challenge of CR network’s multi-channel environment, and an Optimal Path Selection mechanism is equipped to evaluate relationship between CR nodes and PUs when paths are being selected. Through theoretical and simulation analyses, MIDMRA has better performances on continuous communication under PU interferences than other multi-path routing algorithms

On-demand ecology-inspired spectrum allocation mechanism for heterogeneous cognitive radio networks

International audienc