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