Year: 2025
Type: conference-paper
Abstract: In order to improve the performance and security of information encryption system in big data scenarios, an AES encryption scheme based on chaos mapping optimization is proposed. Cubic chaotic mapping is studied and optimized, the randomness and unpredictability of chaotic sequence is enhanced by buffting optimization model, and the optimization effect is verified by Lyapunov index, bifurcation diagram, phase diagram and time series. By combining the optimized chaotic sequence with AES, a dynamic key generation mechanism is designed to avoid the security risks of static keys, and the performance of AES optimized keys is verified from the aspects of randomness, security, resource consumption and anti-attack ability. The experimental results show that the scheme significantly enhances the anti-attack capability and processing performance of the encryption system, and provides important support for the information security field.
Authors: Fukang Tang, Changhua Liu
Institution: Wuhan Polytechnic University
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4411016346