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
         
        
        
        
        
        
            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;
         
        
        
        
            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
         
        
        
            DOI : 
10.1109/IWISA.2009.5072765