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Issue title: Special Section: Fuzzy Logic for Analysis of Clinical Diagnosis and Decision-Making in Health Care
Article type: Research Article
Affiliations: College of Big Data and Intelligent Engineering Yangtze Normal University, Chongqing, China
Correspondence: [*] Corresponding author. Jun Zeng, College of Big Data and Intelligent Engineering Yangtze Normal University, Chongqing, China. E-mail: [email protected].
Abstract: In order to improve the security of information storage in multi-domain optical network privacy protection, hybrid encoding and encryption of privacy protection information in multi-domain optical network is carried out. A hybrid coding and secure encryption technique based on particle swarm optimization (PSO) for privacy protection information in multi-domain optical network is proposed. The coding mapping equation of privacy protection information security encryption in multi-domain optical network is constructed, and the privacy protection information of multi-domain fiber network is loaded into the coding mapping equation of security encryption of privacy protection information in multi-domain fiber network. A set of characteristic solutions describing the entropy function of the characteristic distribution of random encryption keys are obtained, and the elliptic mapping random linear combination coding and chaotic encryption key allocation are carried out. The privacy protection method of multi-domain optical fiber network is used to encrypt and decode information with mixed coding and steganography. Under the bilinear mapping coding system, the privacy-protected information in multi-domain optical network is encrypted and encrypted, stored and transmitted confidently. The simulation results show that this encryption technique has better steganography performance and better secure transmission and storage performance for the privacy protection information mixed encoding encryption in multi-domain optical network.
Keywords: Particle swarm optimization algorithm, multi-domain fiber optic network, secure encryption
DOI: 10.3233/JIFS-179388
Journal: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 1, pp. 139-145, 2020
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