Research on Computer Network Information Security Protection Strategy and Evaluation Algorithm Based on Data mining
Author: 
Mingdong HeAuthors Info & Claims
Mingdong HeAuthors Info & ClaimsPages 2426 - 2429
Abstract
Data mining technology uses brand-new data analysis and reflection to judge and find the potential links in data, so as to ensure that the data runs in a relatively safe state, which is of great help to promote the improvement of computer network security. In order to ensure the security performance of computer network, it is necessary to adopt certain defense measures and defense strategies. Applying data mining technology to computer network can mine, process and analyze the data in computer network. This paper analyzes the relevant strategies of computer network information security protection, and further optimizes the protection work of network information security combined with data mining technology, thus providing certain reference for evaluating the effectiveness of network information security protection.
References
[1]
Yang Pinfang. Research on Computer Network Information Security Protection Strategy and Evaluation Algorithm. Modern Information Technology, vol. 4, no. 8, pp. 148-149+152, 2020.
[2]
Kong Chuiyu. Discussion on Computer Network Information Security Protection Strategy and Evaluation Algorithm. Digital Technology and Application, vol. 37, no. 2, pp. 210-211, 2019.
[3]
Song Junsu. Discussion on the Application of data mining Technology in Computer Network Virus Prevention. Information Technology and Informatization, vol. 240, no. 3, pp. 58-60, 2020.
[4]
Zhang Dapeng. Computer network information security optimization encryption algorithm design. Digital Communication World, vol. 160, no. 4, pp. 128+202, 2018.
[5]
Wu Ruohua. Influencing factors and preventive measures of computer network security technology. Modern Education Forum, vol. 4, no. 4, pp. 23-24, 2021.
[6]
Stojanov, Zeljko, Dobrilovic, Solving Problems in a Physical Laboratory for Computer Networks and Data Security: A Conceptual Framework with Students Experiences. The international journal of engineering education, vol. 32, no. 6, pp. 2517 -2530, 2016.
[7]
Garay J A, Prisco R D. Security and Cryptography for Networks. Lecture Notes in Computer Science, vol. 7485, no. 1, pp. 229–241, 2016.
[8]
Royal, Holloway, University, Cryptographic enforcement of information flow policies without public information via tree partitions1. Journal of Computer Security, vol. 25, no. 6, pp. 511-535, 2017.
[9]
Taglienti C, Cannady J. The User Attribution Problem and the Challenge of Persistent Surveillance of User Activity in Complex Networks. Journal of Computer Security, vol. 24, no. 2, pp. 235-288, 2016.
[10]
El-Bayaa A S, Khedr M E, Aly M H. Android smartphones network implementation in the absence of internet. Computer Applications in Engineering Education, vol. 26, no. 4, pp. 938-946, 2018.
[11]
Patsakis C, Zigomitros A, Papageorgiou A, Privacy and Security for Multimedia Content shared on OSNs: Issues and Countermeasures. The Computer Journal, vol. 58, no. 4, pp. 518-535, 2018.
[12]
Zhao Renfei. Computer Network Information Security Threats and Data Encryption Technology Research. Network Security Technology and Application, vol. 239, no. 11, pp. 43-44, 2020.
[13]
Xu Hui. Analysis of Computer Network Information Security and Protection Technology in the New Era. Technology and Innovation, vol. 113, no. 17, pp. 92-93, 2018.
[14]
Cui Hai. Research on Threats and Protection Strategies of Network Information Security under Big Data. Information and Communication, vol. 180, no. 12, pp. 138-139, 2017.
- Research on Computer Network Information Security Protection Strategy and Evaluation Algorithm Based on Data mining
Recommendations
Computer Network Information Security Protection Measures Based on AI Intelligent Technology
ICITEE '20: Proceedings of the 3rd International Conference on Information Technologies and Electrical EngineeringAt present, computer network is the main application object in people's work and life. Computer network in the halo of many advantages, there are still disadvantages, because the network system is vulnerable to external and internal factors, plus their ...
Computer Network Information Security and Protection Strategy Based on Big Data Environment
This paper proposed a study on computer network information security and protection strategy based on a big data environment. The research purpose was to use big data technology to network information security protection technology and seek more ...
Research on Computer Network Information Security Protection Based on the Clustering Algorithm for Large Data
icWCSN '23: Proceedings of the 2023 10th International Conference on Wireless Communication and Sensor NetworksThe continuous development of modern technology has gradually changed the way computers transmit information. Network information is in a world of mobile information transmission. While large data brings convenience to human beings, it also faces ...
Comments
Information & Contributors
Information
Published In
September 2021
2972 pages
ISBN:9781450390255
DOI:10.1145/3482632
Copyright © 2021 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 22 November 2021
Check for updates
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
ICISCAE 2021
ICISCAE 2021: 2021 IEEE 4th International Conference on Information Systems and Computer Aided Education
September 24 - 26, 2021
Dalian, China
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 45Total Downloads
- Downloads (Last 12 months)3
- Downloads (Last 6 weeks)0
Reflects downloads up to 28 Feb 2025
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML Format