Title : 
An Intrusion Detection Method for Ad Hoc Network Based on Class Association Rules Mining
         
        
            Author : 
Chuan-xiang Ma ; Ze-ming Fang ; Chen, Fang Rui
         
        
            Author_Institution : 
Sch. of Math. & Comput. Sci., Hubei Univ., Wuhan, China
         
        
        
        
        
        
            Abstract : 
Ad Hoc network is a newly developed network without fixed infrastructure and a changing topology. Its vulnerability makes it prone to attacks, which brings greater challenges for intrusion detection for Ad Hoc. Through analyzing the existing intrusion detection techniques as well as the characteristics of Ad Hoc network, this paper has proposed an intrusion detection technique based on class association rules. The result has shown that this method is more accurate and efficient than other methods of its kind, especially for the hidden attack detection.
         
        
            Keywords : 
ad hoc networks; data mining; mobile radio; security of data; telecommunication computing; telecommunication security; ad hoc network; class association rules mining; intrusion detection method; Ad hoc networks; Association rules; Computer science; Data mining; Data security; Detection algorithms; Intrusion detection; Mobile ad hoc networks; Monitoring; Network topology; Ad Hoc networks; class association rules; intrusion detection;
         
        
        
        
            Conference_Titel : 
Frontier of Computer Science and Technology, 2009. FCST '09. Fourth International Conference on
         
        
            Conference_Location : 
Shanghai
         
        
            Print_ISBN : 
978-0-7695-3932-4
         
        
            Electronic_ISBN : 
978-1-4244-5467-9
         
        
        
            DOI : 
10.1109/FCST.2009.120