Title: Cloud storage system of teaching resources based on internet of things

Authors: Xinhui Zhang

Addresses: Railway Police College, Henan, ZhengZhou, 450000, China

Abstract: In order to overcome the problems of high resource occupancy rate, poor data storage security and slow resource access speed in traditional teaching resource storage systems, a cloud storage system of teaching resources based on internet of things is proposed. The system consists of a user access module, resource management module and resource cloud storage module. The user access module is responsible for the user registration and login functions, the resource management module uses the data similarity measurement method to merge the duplicate data of teaching resources, and the resource cloud storage module encrypts the teaching resources through the AES algorithm in the internet of things. The experimental results show that the resource occupancy rate of cloud storage of teaching resources is only 30%, the security of data encryption can reach 97%, and the shortest storage speed of teaching resources is about 2.2 min.

Keywords: internet of things; teaching resources; cloud storage; data similarity measurement method; AES algorithm; parallel storage.

DOI: 10.1504/IJCEELL.2022.126861

International Journal of Continuing Engineering Education and Life-Long Learning, 2022 Vol.32 No.6, pp.699 - 713

Received: 28 Jul 2020
Accepted: 20 Oct 2020
Published online: 09 Nov 2022 *

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