Abstract

Data communication network must use telephone, cable or optical fiber as transmission medium and computer as information receiving, output and communication tool. Customers can not only process the received information, but also realize information sharing through the network. With the wide application of network communication in daily life, network security issues have higher requirements. In order to solve the problems of subjectivity, long modeling time and low classification accuracy of information security risk assessment methods, this paper first proposes an intelligent information security risk assessment method based on decision tree. Compared with other classification algorithms such as support vector machine, the decision tree classification algorithm has no requirement for data category distribution, and has good classification effect and fast speed. Finally, this paper introduces the security measures in network data communication for reference only.

Details

Title
Research on Information Security Risk Analysis and Prevention Technology of Network Communication Based on Cloud Computing Algorithm
Author
Li, Yonghong 1 ; Liu, Ruifeng 1 ; Liu, Xiaoyu 1 ; Li, Hong 2 ; Sun, Qingwen 1 

 Seismological Bureau of Shandong Province, Jinan, Shandong, 250014, China 
 China Earthquake Networks Center, Beijing, 100036, China 
Publication year
2021
Publication date
Jul 2021
Publisher
IOP Publishing
ISSN
17426588
e-ISSN
17426596
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2557518203
Copyright
© 2021. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.