Title :
Research on a Distributed Network Intrusion Detection System Based on Association Rule Mining
Author :
Fu, Desheng ; Zhou, Shu ; Guo, Ping
Author_Institution :
Coll. of Comput. & Software, Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China
Abstract :
Putting forward a system model based on association rule mining and improving the FP-Growth algorithm based on associative analysis. The experimental result shows that the network intrusion detection developed by this paper can work stably, find out intrusion activities accurately and promptly, improve the speed of data mining effectively, enhance the detective ability of intrusion detection greatly, and provide a solid protection for network security.
Keywords :
data mining; security of data; FP-growth algorithm; association rule mining; associative analysis; data mining; distributed network intrusion detection system; network security; system model; Algorithm design and analysis; Association rules; Centralized control; Data mining; Engines; Information science; Intrusion detection; Itemsets; Local area networks; Transaction databases;
Conference_Titel :
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4909-5
DOI :
10.1109/ICISE.2009.929
