Classification of end users over distributed network by using fuzzy temporal correlation of HTTP and TCP log

Author

Meena, D. ; Gupta, H.

Author_Institution

CSE Dept., Patel Inst. of Technol., Bhopal, India

fYear

2013

fDate

2-3 July 2013

Firstpage

1

Lastpage

5

Abstract

Digital communication is a back bone of the communication over the world. This is openly available for all users. This is a major cause of attack in the network. Now how it is possible to catch the attacker. So here digital investigation takes place. This paper proposed an approach which is used the two basic concepts one is temporal data mining and another is fuzzy association rules. Using log files it is possible to classify the attacker from the normal user. This paper uses the time based investigation which gives the efficient result to detect the end user if it is attacker.

Keywords

computer network security; data mining; fuzzy set theory; hypermedia; pattern classification; transport protocols; HTTP; TCP log; attacker classification; computer access-over-network; digital communication; distributed network; end user classification; end user detection; fuzzy association rules; fuzzy temporal correlation; log files; temporal data mining; Digital Investigation; Fuzzy Association rule; Log Files; Temporal Data Mining;

fLanguage

English

Publisher

ieee

Conference_Titel

Optical Imaging Sensor and Security (ICOSS), 2013 International Conference on

Conference_Location

Coimbatore

Print_ISBN

978-1-4799-0935-3

Type

conf

DOI

10.1109/ICOISS.2013.6678426

Filename

6678426