Title :
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
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;
Conference_Titel :
Control, Instrumentation, Communication and Computational Technologies (ICCICCT), 2014 International Conference on
Conference_Location :
Kanyakumari
Print_ISBN :
978-1-4799-4191-9
DOI :
10.1109/ICCICCT.2014.6992947