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Detection of E-Banking Phishing Websites

N. Saivikas Reddy1 , Vinay Kumar M2

Section:Review Paper, Product Type: Journal Paper
Volume-07 , Issue-14 , Page no. 49-52, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7si14.4952

Online published on May 15, 2019

Copyright © N. Saivikas Reddy, Vinay Kumar M . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: N. Saivikas Reddy, Vinay Kumar M, “Detection of E-Banking Phishing Websites,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.14, pp.49-52, 2019.

MLA Style Citation: N. Saivikas Reddy, Vinay Kumar M "Detection of E-Banking Phishing Websites." International Journal of Computer Sciences and Engineering 07.14 (2019): 49-52.

APA Style Citation: N. Saivikas Reddy, Vinay Kumar M, (2019). Detection of E-Banking Phishing Websites. International Journal of Computer Sciences and Engineering, 07(14), 49-52.

BibTex Style Citation:
@article{Reddy_2019,
author = {N. Saivikas Reddy, Vinay Kumar M},
title = {Detection of E-Banking Phishing Websites},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {07},
Issue = {14},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {49-52},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1088},
doi = {https://doi.org/10.26438/ijcse/v7i14.4952}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i14.4952}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1088
TI - Detection of E-Banking Phishing Websites
T2 - International Journal of Computer Sciences and Engineering
AU - N. Saivikas Reddy, Vinay Kumar M
PY - 2019
DA - 2019/05/15
PB - IJCSE, Indore, INDIA
SP - 49-52
IS - 14
VL - 07
SN - 2347-2693
ER -

           

Abstract

The term Phishing refers to a fraudulent technique of stealing people’s private data .The main aim of phishing attack is to steal consumer private data by provoking them to enter their details in the portals which are sent by the attacker .These portals resembles with the original website portal and provokes the users to enter their data like username and password ,bank account details and other sensible information .The main goal of this paper is to perform research on the machine learning data techniques to detect the phishing attacks and to assist the police in handling the complicated phishing activities

Key-Words / Index Term

Phishing, criminal technique, associative classification algorithms

References

[1] Abdulghani Ali Ahmed, Nurul Amirah Abdullah, “Real Time detection of phishing websites”.In the proceedings of the 2016 IEEE 7th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON 2016),USA,pp. 2-5,2016.
[2] Stuart McClure, “Hacking Exposed”, McGraw-Hill Education,pp. 28-45, 2012.
[3] Christopher Atikins,”Phishing attacks:Advanced Attack Techniques”, CreateSpace Independent Publishing Platform,pp. 55-75,2018.
[4] Dr.Radha D,”Study on Phishing attacks and antiphishing tools” International Research Journal of Engineering and Technology (IRJET),Vol 3,Issuse.1,pp.1-4,2016.
[5] Himani T,”A survey paper on Phishing detection” International Journal of Advanced Research in Computer Science,Vol 5,pp 1-4,2016.