Presenting a pattern for detection of denial of service attacks with web mining technique and fuzzy logic approach

Author

Jelodar, Hamed ; Aramideh, Javad

Author_Institution

Dept. of Comput. Eng., Islamic Azad Univ., Bushehr, Iran

fYear

2014

fDate

10-11 July 2014

Firstpage

156

Lastpage

160

Abstract

Hackers attack a server of website collectively. In other words, DOS attacks have been sent by hackers into server. To identify DOS, an accurate approach is required. Such attacks can be detected by analyzing Log File of server. In this paper, attempt has been made to present a model by combining web mining technique with fuzzy logic approach to evaluate probability of DOS attacks using two effective factors of the number of Hits and time interval of the requests so that appropriate preventive measures can be taken under different conditions.

Keywords

Internet; Web sites; computer crime; computer network security; data mining; file servers; fuzzy logic; probability; DOS attacks; Web mining technique; Web site server; denial of service attack detection; fuzzy logic approach; log file analysis; preventive measures; probability; Computer crime; Computer hacking; Floods; Fuzzy systems; IP networks; Servers; Web mining; DOS attacks; Fuzzy logic; Internet hackers; Web mining;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Instrumentation, Communication and Computational Technologies (ICCICCT), 2014 International Conference on

Conference_Location

Kanyakumari

Print_ISBN

978-1-4799-4191-9

Type

conf

DOI

10.1109/ICCICCT.2014.6992947

Filename

6992947