Improved FP-Growth Algorithm for Freeway Surveillance Network Intrusion Detection System

Author

Xia Chuang-wen ; Huang Zhijun ; Hu Cuiyun

Author_Institution

Sch. of Civil Eng. & Transp., South China Univ. of Technol., Guangzhou, China

fYear

2011

fDate

5-7 Aug. 2011

Firstpage

624

Lastpage

627

Abstract

This paper introduces network toll highway network structure and characteristics of the monitoring, analysis of the monitoring network and office network Internet security problems, make use of the improved FP algorithm for network monitoring intrusion detection, and used the method in Guangdong provincial highway surveillance network system, the results show that not only effectively prevent the intrusion, but also improve the data mining of time.

Keywords

Internet; data mining; roads; security of data; surveillance; traffic information systems; Guangdong provincial highway surveillance network system; data mining; freeway surveillance network; improved FP algorithm; network monitoring intrusion detection; network toll highway network structure; office network Internet security problems; Algorithm design and analysis; Clustering algorithms; Data mining; Intrusion detection; Surveillance; Intrusion Detection Improved FP-Growth algorithm; Network monitoring; formatting; network security;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Manufacturing and Automation (ICDMA), 2011 Second International Conference on

Conference_Location

Zhangjiajie, Hunan

Print_ISBN

978-1-4577-0755-1

Electronic_ISBN

978-0-7695-4455-7

Type

conf

DOI

10.1109/ICDMA.2011.155

Filename

6051924