Abstract
In the present scenario online web advertising is premier source of revenue for many internet web applications. Phishing is an activity of misleading web users to fraudulent web sites which can be used to steal the sensitive information from internet. In this article, we introduce a new architecture for web fraud detection using Apriori algorithm for association rule mining and phish tank database in web advertising network. Extensive experiments are done on the proposed architecture with web access log and results obtained by proposed architecture in terms of accuracy, error rate, memory used and search time are encouraging.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
