Encryption and Compression Storage Method of Educational Resources Based on Complex Network and Big Data Analysis

In order to improve the information retrieval and mining capability of educational resources, encryption, compression and storage processing are required. An encryption, compression and storage model of educational resources based on complex network and big data analysis is proposed. A dynamic characteristic information collection and information fuzzy clustering model of educational resource information is constructed, educational resource information sampling is carried out by adopting a wireless sensing matrix of a complex network, metadata structure characteristics of the educational resource information are extracted, a multi-dimensional characteristic space structure distributed fusion method is adopted, educational resource encryption compression and adaptive allocation of information coding are carried out, random coding keys and decoding keys of the educational resource information are extracted, random linear coding technology is adopted to realize encryption, compression and storage of the educational resource information, and dynamic compression capability of the educational resource data is improved. The simulation results show that this method has better feature compression capability and higher precision of encrypted transmission of educational resources information, and improves the precision and recall of educational resources information.