Research on Intrusion Detection System Based on Data Mining

Fengling Wang

doi:10.1109/IMCEC46724.2019.8983937

Research on Intrusion Detection System Based on Data Mining

Fengling Wang^*

^*Corresponding author for this work

Hezhou University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Using data mining technology not only can improve the detection speed and reduce the workload of manual operation, but also can be used for intrusion detection, which will improve the detection efficiency and accuracy of intrusion detection. Firstly, the related concepts of data mining and intrusion detection are expounded. Then, the advantages of intrusion detection system based on data mining are introduced, the intrusion detection system model based on data mining is constructed, and the intrusion detection algorithm based on data mining is studied. The research direction of intrusion detection is pointed out, which lays a solid foundation for the subsequent discussion of the technical methods used in intrusion detection.

Original language	English
Title of host publication	Proceedings of 2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2019
Editors	Bing Xu
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1132-1135
Number of pages	4
ISBN (Electronic)	9781728105130
DOIs	https://doi.org/10.1109/IMCEC46724.2019.8983937
State	Published - Oct 2019
Externally published	Yes
Event	3rd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2019 - Chongqing, China Duration: 11 Oct 2019 → 13 Oct 2019

Publication series

Name	Proceedings of 2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2019

Conference

Conference	3rd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2019
Country/Territory	China
City	Chongqing
Period	11/10/19 → 13/10/19

Keywords

Cluster analysis
Data mining
Intrusion detection
K-means improved algorithm

Access to Document

10.1109/IMCEC46724.2019.8983937

Cite this

Wang, F. (2019). Research on Intrusion Detection System Based on Data Mining. In B. Xu (Ed.), Proceedings of 2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2019 (pp. 1132-1135). Article 8983937 (Proceedings of 2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IMCEC46724.2019.8983937

Wang, Fengling. / Research on Intrusion Detection System Based on Data Mining. Proceedings of 2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2019. editor / Bing Xu. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 1132-1135 (Proceedings of 2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2019).

@inproceedings{fbbddeb89bbf4e2fb8fc663e89e97a13,

title = "Research on Intrusion Detection System Based on Data Mining",

abstract = "Using data mining technology not only can improve the detection speed and reduce the workload of manual operation, but also can be used for intrusion detection, which will improve the detection efficiency and accuracy of intrusion detection. Firstly, the related concepts of data mining and intrusion detection are expounded. Then, the advantages of intrusion detection system based on data mining are introduced, the intrusion detection system model based on data mining is constructed, and the intrusion detection algorithm based on data mining is studied. The research direction of intrusion detection is pointed out, which lays a solid foundation for the subsequent discussion of the technical methods used in intrusion detection.",

keywords = "Cluster analysis, Data mining, Intrusion detection, K-means improved algorithm",

author = "Fengling Wang",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 3rd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2019 ; Conference date: 11-10-2019 Through 13-10-2019",

year = "2019",

month = oct,

doi = "10.1109/IMCEC46724.2019.8983937",

language = "英语",

series = "Proceedings of 2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1132--1135",

editor = "Bing Xu",

booktitle = "Proceedings of 2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2019",

address = "美国",

}

Wang, F 2019, Research on Intrusion Detection System Based on Data Mining. in B Xu (ed.), Proceedings of 2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2019., 8983937, Proceedings of 2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2019, Institute of Electrical and Electronics Engineers Inc., pp. 1132-1135, 3rd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2019, Chongqing, China, 11/10/19. https://doi.org/10.1109/IMCEC46724.2019.8983937

Research on Intrusion Detection System Based on Data Mining. / Wang, Fengling.
Proceedings of 2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2019. ed. / Bing Xu. Institute of Electrical and Electronics Engineers Inc., 2019. p. 1132-1135 8983937 (Proceedings of 2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Research on Intrusion Detection System Based on Data Mining

AU - Wang, Fengling

PY - 2019/10

Y1 - 2019/10

N2 - Using data mining technology not only can improve the detection speed and reduce the workload of manual operation, but also can be used for intrusion detection, which will improve the detection efficiency and accuracy of intrusion detection. Firstly, the related concepts of data mining and intrusion detection are expounded. Then, the advantages of intrusion detection system based on data mining are introduced, the intrusion detection system model based on data mining is constructed, and the intrusion detection algorithm based on data mining is studied. The research direction of intrusion detection is pointed out, which lays a solid foundation for the subsequent discussion of the technical methods used in intrusion detection.

AB - Using data mining technology not only can improve the detection speed and reduce the workload of manual operation, but also can be used for intrusion detection, which will improve the detection efficiency and accuracy of intrusion detection. Firstly, the related concepts of data mining and intrusion detection are expounded. Then, the advantages of intrusion detection system based on data mining are introduced, the intrusion detection system model based on data mining is constructed, and the intrusion detection algorithm based on data mining is studied. The research direction of intrusion detection is pointed out, which lays a solid foundation for the subsequent discussion of the technical methods used in intrusion detection.

KW - Cluster analysis

KW - Data mining

KW - Intrusion detection

KW - K-means improved algorithm

UR - https://www.scopus.com/pages/publications/85081162649

U2 - 10.1109/IMCEC46724.2019.8983937

DO - 10.1109/IMCEC46724.2019.8983937

M3 - 会议稿件

AN - SCOPUS:85081162649

T3 - Proceedings of 2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2019

SP - 1132

EP - 1135

BT - Proceedings of 2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2019

A2 - Xu, Bing

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2019

Y2 - 11 October 2019 through 13 October 2019

ER -

Wang F. Research on Intrusion Detection System Based on Data Mining. In Xu B, editor, Proceedings of 2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 1132-1135. 8983937. (Proceedings of 2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2019). doi: 10.1109/IMCEC46724.2019.8983937

Research on Intrusion Detection System Based on Data Mining

Abstract

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Keywords

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