DocumentCode
2034963
Title
Based on Data Fusion Multi- Data Sources Intrusion Detection Model
Author
Li Min ; Wang DongLliang ; Wangjie ; Sunxuhua
Author_Institution
Network Center, Beijing Univ. of Civil Eng. & Archit., Beijing
fYear
2009
fDate
23-24 May 2009
Firstpage
1
Lastpage
3
Abstract
In this paper, aiming at the characteristics of intrusion detection methods´ limitations and the low detection accuracy, we analyze the course of intrusion and classify the detection data sources, and then establish a common intrusion detection model based on data fusion of multi-data sources. Through analyze each part´s function of the intrusion detection model, summarizes its characteristics, using multiple detection methods and data integration technology, in theory to achieve the feasibility. In the end we bring up the future research direction.
Keywords
pattern classification; security of data; sensor fusion; data classification; data fusion; data integration technology; multidata source intrusion detection model; Civil engineering; Computer hacking; Data analysis; Decision making; File systems; Information analysis; Information security; Intrusion detection; Keyboards; System testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-3893-8
Electronic_ISBN
978-1-4244-3894-5
Type
conf
DOI
10.1109/IWISA.2009.5072765
Filename
5072765
Link To Document