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
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