Using Data Mining Schemes for Detecting Cyber Crimes and Phishing websites
Author(s):
P.Jyothsna, N.Vinayasree
Keywords:
Phishing websites, DOS attacks, Data mining, Association rules, cluster analysis,Log File, Cyber Crimes.
Abstract
Globally the net is been accessed by huge quantity people within their restricted domains. once the consumer and server exchange messages among each other, there is associate degree activity which will be determined in log files. Log files provides a careful description of the activities that occur in associate degree passing network that shows the information processing address, login and logout durations, the user’s behavior etc. There are many types of attacks occurring from internet. Our focus of research is on Denial of Service (DOS) attacks with the assistance of pattern recognition techniques in processing. Through that the Denial of Service attack is understood. Denial of service could be a really dangerous attack that jeopardizes the IT resources of a company by overloading with imitation messages or multiple requests from unauthorized users. however we tend to cannot discover the pretend web site during this criteria. so as to discover and predict e-banking phishing web site, we tend to planned associate degree intelligent, versatile and effective system that's supported mistreatment classification data processing formula. we tend to enforced classification formula and techniques to extract the phishing knowledge sets criteria to classify their legitimacy.
Article Details
Unique Paper ID: 145535
Publication Volume & Issue: Volume 4, Issue 10
Page(s): 411 - 414
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