DocumentCode :
704785
Title :
Anti-phishing using Hadoop-framework
Author :
Gavahane, Mayura ; Sequeira, Derick ; Pandey, Abhishek ; Shetty, Anush
Author_Institution :
Dept. of Comput. Eng., Don Bosco Inst. of Technol., Mumbai, India
fYear :
2015
fDate :
4-6 Feb. 2015
Firstpage :
1
Lastpage :
4
Abstract :
Phishing is an activity that is carried out online inorder to steal the identity of the users online such as their user IDs, passwords and credit card details. Unaware online users easily fall for these phishing web pages because of their high similarities to the real ones. Detecting & Identifying fake websites is a very cumbersome task. Several attributes are needed to be taken into consideration. The existing phishing detection systems are time consuming & heavily rely on the backend database available. In this proposed system, main focus is on retrieving the necessary attributes in real time using Hadoop-MapReduce, which will help us increase both speed & throughput of the system. This new system aims at providing secure browsing experience to the user.
Keywords :
computer crime; data handling; parallel processing; Hadoop-MapReduce; anti-phishing; browsing security; Browsers; Crawlers; Data mining; Databases; Generators; Uniform resource locators; Web pages; Anti-Phishing; Data Mining; Hadoop; Information Retrieval; MapReduce; Phishing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Technologies for Sustainable Development (ICTSD), 2015 International Conference on
Conference_Location :
Mumbai
Type :
conf
DOI :
10.1109/ICTSD.2015.7095870
Filename :
7095870
Link To Document :
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