DocumentCode
1610678
Title
Design of Intrusion Detection Model Based on Data Mining Technology
Author
Huan, Li Yin
Author_Institution
Jiangmen Polytech., Jiangmen, China
fYear
2012
Firstpage
571
Lastpage
574
Abstract
This paper focuses on an improved FP-Growth algorithm. Preprocessing of data mining can increase efficiency on searching the common prefix of node and reduce the time complexity of building FP-tree. Based on the improved FP-Growth algorithm and other data mining techniques, an intrusion detection model is carried out. The experimental results demonstrate effectiveness of the improved algorithm and feasibility of intrusion detection model.
Keywords
computational complexity; data mining; security of data; trees (mathematics); FP-growth algorithm; FP-tree; data mining technology; intrusion detection model; node common prefix; time complexity reduction; Algorithm design and analysis; Clustering algorithms; Computers; Data mining; Data models; Databases; Intrusion detection; FP-Growth algorithm; data mining; intrusion detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-4673-1450-3
Type
conf
DOI
10.1109/ICICEE.2012.156
Filename
6322445
Link To Document