Cloud storage system of teaching resources based on internet of things Online publication date: Wed, 09-Nov-2022
by Xinhui Zhang
International Journal of Continuing Engineering Education and Life-Long Learning (IJCEELL), Vol. 32, No. 6, 2022
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.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Continuing Engineering Education and Life-Long Learning (IJCEELL):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com