DocumentCode :
2659195
Title :
Intranet Threat Detection Technology Based on Non-frequent Pattern
Author :
Zhang, Fengqin ; Wang, Lei ; Zhang, Shuiping ; Zhang, Keying
Author_Institution :
Sch. of Telecommun. Eng., Air Force Eng. Univ., Xi´´an, China
fYear :
2011
fDate :
4-6 Nov. 2011
Firstpage :
416
Lastpage :
419
Abstract :
The existing network information security is mainly focused on the classification of gateway or network perimeter and so on. The lack of measures relevant to security threat from intranet hosts leads to information divulging with great loss. The intranet should be of high security. And it´s a latent threat when the intranet users visit the website with illegal motives. In view of these, the security threat mainly from the intranet is analyzed in the paper. Kripke structure is adopted to describe the mathematical model for intranet security system. Non-frequent pattern discovery algorithm based on matrix is designed. And a new intranet-threat monitoring model, which is suitable for dense network, is proposed. Thus the problem of effective monitoring and warning for intranet security is solved.
Keywords :
computer network security; intranets; pattern classification; Kripke structure; intranet threat detection technology; network information security; nonfrequent pattern discovery algorithm; security threat; Algorithm design and analysis; Data models; Itemsets; Mathematical model; Monitoring; Security; Intranet Security; Kripke structure; intelligent monitoring; non-frequent pattern;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Information Networking and Security (MINES), 2011 Third International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4577-1795-6
Type :
conf
DOI :
10.1109/MINES.2011.111
Filename :
6103803
Link To Document :
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