Title :
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
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;
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
DOI :
10.1109/ICDMA.2011.155
