Impact Factor:6.549
 Scopus Suggested Journal: UNDER REVIEW for TITLE INCLUSSION

International Journal
of Computer Engineering in Research Trends (IJCERT)

Scholarly, Peer-Reviewed, Open Access and Multidisciplinary

Welcome to IJCERT

International Journal of Computer Engineering in Research Trends. Scholarly, Peer-Reviewed,Open Access and Multidisciplinary

ISSN(Online):2349-7084                 Submit Paper    Check Paper Status    Conference Proposal

Back to Current Issues

Phishing Urls Detection Using Machine Learning Techniques

Sushma Joshi, Dr S.M Joshi, , ,
Computer Science and Engineering, SDM College of Engineering and Technology, Visveswaraya Technological University, Dharwad, India

Phishing is an attempt to get any sensitive information like user identity information, banking details and passwords from target or targets which is considered as fraudulent attack. Phishing causes huge loss to the internet users every year. It is a captivating technique used obtain all the personal and financial information from the pool users of internet. This project deals with the methodologies of identifying the phishing websites with the help of machine leaning algorithms. We have considered the lexical properties, host based and page-based properties of the URLs which are used for identifying the phishing URLs. Various Machine learning algorithms are implemented for feature evaluation of the URLs which have widespread phishing properties. These website properties are refined so that a best suitable classifier tis identified which can distinguish between benign and phishing site.

Sushma Joshi,Dr S.M Joshi."Phishing Urls Detection Using Machine Learning Techniques". International Journal of Computer Engineering In Research Trends (IJCERT) ,ISSN:2349-7084 ,Vol.6, Issue 06, June - 2019, URL :326-333,

Keywords : URL, phishing, benign, legitimate, malicious.

[1]	Joby James, Sandhya L, Ciza Thomas: Detection of Phishing URLs Using Machine Learning Techniques. In Proc. Of 2013 International Conference on Control Communication and Computing (ICCC).
[2]	J. Ma, L. K. Saul, S. Savage and G. M. Voelker,” Beyond Blacklists: Learning to Detect Phishing Web Sites from Suspicious URLs”, Proc.of SIGKDD '09
[3]	J. Ma, L. K. Saul, S. Savage, and G. M. Voelker,” Learning to Detect Phishing URLs”, ACM Transactions on intelligent Systems and Technology, Vol. 2, No.3, Article 30, Publication date: April 2011.
[4]	Garera S., Provos N., Chew M., Rubin A. D., “A Framework for Detection and measurement of phishing attacks”, In Proceedings of the ACM Workshop on Rapid Malloced (WORM), Alexandria, VA.
[5]	D. K. McGrath, M. Gupta, “Behind Phishing: An Examination of Phisher Modi Operandi”, In Proceedings of the USENIX Workshop on Large-Scale Exploits and Emergent Threats (LEET).
[6]	C. Whittaker, B. Ryner, and M. Nazif. Large-scale automatic classification of phishing pages. In Proc. Of the 17th Annual Network and Distributed System Security Symposium (NDSS’10), California, USA, February 2010.
[7]	Phistank.
[8]	Curlie.
[9]	I. Rogers “Google Page Rank – Whitepaper”
[10]	Shraddha Parekh, Dhwanil Parikh, Srusti Kotak, Prof Smita Sankhe, A New Method for Detection of Phishing Websites: URL Detection “. In Proc Of 2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT)
[11]	Ram B. Basnet and Andrew H. Sung, “Learning to Detect Phishing Webpages”, In proceedings of Journal of Internet Services and Information Security.
[12]	Mohammad Fazli Baharuddin, Tengku Adil Tengku Izhar, Mohd Shamsul Mohd Shoid “Malicious Url Classification System Using Multi-Layer Perceptron Technique”, In proceedings of the Journal of Theoretical and Applied Information Technology.

DOI Link :

Download :

Refbacks : Currently, there are no Refbacks


Authors are not required to pay any article-processing charges (APC) for their article to be published open access in Journal IJCERT. No charge is involved in any stage of the publication process, from administrating peer review to copy editing and hosting the final article on dedicated servers. This is free for all authors. 

News & Events

Latest issue :Volume 10 Issue 1 Articles In press

A plagiarism check will be implemented for all the articles using world-renowned software. Turnitin.

Digital Object Identifier will be assigned for all the articles being published in the Journal from September 2016 issue, i.e. Volume 3, Issue 9, 2016.

IJCERT is a member of the prestigious.Each of the IJCERT articles has its unique DOI reference.
DOI Prefix : 10.22362/ijcert

IJCERT is member of The Publishers International Linking Association, Inc. (“PILA”)

Emerging Sources Citation Index (in process)

IJCERT title is under evaluation by Scopus.

Key Dates

☞   LAST DATE OF SUBMISSION : 31st March 2023
In 7 Days

Important Announcements

All the authors, conference coordinators, conveners, and guest editors kindly check their articles' originality before submitting them to IJCERT. If any material is found to be duplicate submission or sent to other journals when the content is in the process with IJCERT, fabricated data, cut and paste (plagiarized), at any stage of processing of material, IJCERT is bound to take the following actions.
1. Rejection of the article.
2. The author will be blocked for future communication with IJCERT if duplicate articles are submitted.
3. A letter regarding this will be posted to the Principal/Director of the Institution where the study was conducted.
4. A List of blacklisted authors will be shared among the Chief Editors of other prestigious Journals
We have been screening articles for plagiarism with a world-renowned tool: Turnitin However, it is only rejected if found plagiarized. This more stern action is being taken because of the illegal behavior of a handful of authors who have been involved in ethical misconduct. The Screening and making a decision on such articles costs colossal time and resources for the journal. It directly delays the process of genuine materials.

Citation Index

Citations Indices All
Citations 1026
h-index 14
i10-index 20
Source: Google Scholar

Acceptance Rate (By Year)

Acceptance Rate (By Year)
Year Rate
2021 10.8%
2020 13.6%
2019 15.9%
2018 14.5%
2017 16.6%
2016 15.8%
2015 18.2%
2014 20.6%

Important Links

Conference Proposal