DocumentCode :
3235669
Title :
Network security risk assessment based on association rules
Author :
Cheng, Xiaorong ; Wei, Yan ; Geng, Xin
Author_Institution :
Sch. of Comput. Sci. & Technol., North China Electr. Power Univ., Baoding, China
fYear :
2009
fDate :
25-28 July 2009
Firstpage :
1142
Lastpage :
1145
Abstract :
With the rapid development of computer network, the network is confronting a growing number of threats. Therefore, it is very important to assess the risks for the network information system. This paper draws data mining technology based on association rules into the field of risk assessment, demonstrating a network security risk assessment model based on association rules. The model mines data from history vulnerability database to discover association rules of vulnerabilities, and it is applied on risk assessment of vulnerabilities. In addition, the paper shows a multidimensional association rule mining algorithm based on improved Apriori, and it is proved that it is available by the experimental results.
Keywords :
computer networks; data mining; risk management; telecommunication security; Apriori algorithm; association rule discovery; computer network security; data mining; history vulnerability database; multidimensional association rule mining algorithm; network information system; risk assessment; Association rules; Computer networks; Data mining; Data security; Databases; History; Information security; Information systems; Multidimensional systems; Risk management; Apriori; association rule; risk assessment; vulnerability database;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science & Education, 2009. ICCSE '09. 4th International Conference on
Conference_Location :
Nanning
Print_ISBN :
978-1-4244-3520-3
Electronic_ISBN :
978-1-4244-3521-0
Type :
conf
DOI :
10.1109/ICCSE.2009.5228484
Filename :
5228484
Link To Document :
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