ISSN2320-2882
Impact Factor9.17
UGC ParametersAligned
Low Cost₹1501 / $59
CrossRefDOI
ESTD2013
Peer ReviewTransparent
AccessOpen
Submission: Always Open
Paper Title
An Intelligent System for Real-Time Phishing URL Detection Using Hybrid ANN Algorithm
Authors
Dinesh Balaji S R , Tamil Ezhil R , Yoki Raj S
Keywords
Phishing Detection,URL Analysis,Machine Learning,Website Security
Abstract
Phishing attacks are one of the major cyber security threats, where attackers deceive users into revealing sensitive information through fraudulent websites. This project proposes a real-time phishing website detection system using a hybrid machine learning algorithm that combines Extreme Gradient Boosting (XG-Boost) and an Artificial Neural Network (ANN). A labeled dataset containing both legitimate and phishing URLs is used to train and evaluate the proposed model. Various URL-based features, including structural properties, security indicators, and domain-related attributes, are extracted to enhance detection accuracy. The XG-Boost model effectively captures complex feature interactions, while the ANN improves generalization by learning non-linear patterns. The hybrid approach integrates predictions from both models to achieve improved robustness and reduced overfitting. Experimental results demonstrate that the proposed system achieves high accuracy and reliable performance in detecting phishing websites. This approach enables early identification of phishing threats and can be integrated into web-based security solutions to enhance user safety and prevent online fraud..
Full Paper, Downloads & Preview
How To Cite
Choose the style your journal or department asks for, then copy it. Every version below is generated from this paper's own record.
IJCRT — journal style
"An Intelligent System for Real-Time Phishing URL Detection Using Hybrid ANN Algorithm", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.14, Issue 3, page no.h613-h617, March 2026, Available :https://ijcrt.org/papers/IJCRT2603912.pdf
APA — 7th edition
R, D. B. S., R, T. E., & S, Y. R. (2026). An Intelligent System for Real-Time Phishing URL Detection Using Hybrid ANN Algorithm. International Journal of Creative Research Thoughts, 14(3), h613-h617. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603912
MLA — 9th edition
R, Dinesh Balaji S, et al. "An Intelligent System for Real-Time Phishing URL Detection Using Hybrid ANN Algorithm." International Journal of Creative Research Thoughts, vol. 14, no. 3, 2026, pp. h613-h617, https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603912.
Chicago — 17th, bibliography
R, Dinesh Balaji S, Tamil Ezhil R, and Yoki Raj S. "An Intelligent System for Real-Time Phishing URL Detection Using Hybrid ANN Algorithm." International Journal of Creative Research Thoughts 14, no. 3 (2026): h613-h617. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603912.
Harvard — author–date
R, D.B.S., R, T.E. and S, Y.R. (2026) 'An Intelligent System for Real-Time Phishing URL Detection Using Hybrid ANN Algorithm', International Journal of Creative Research Thoughts, 14(3), pp. h613-h617. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603912
IEEE — numbered reference
D. B. S. R, T. E. R and Y. R. S, "An Intelligent System for Real-Time Phishing URL Detection Using Hybrid ANN Algorithm," IJCRT, vol. 14, no. 3, pp. h613-h617, Mar. 2026.
Vancouver — biomedical
R DBS, R TE, S YR. An Intelligent System for Real-Time Phishing URL Detection Using Hybrid ANN Algorithm. IJCRT. 2026 Mar;14(3):h613-h617.
AMA — 11th edition
R DBS, R TE, S YR. An Intelligent System for Real-Time Phishing URL Detection Using Hybrid ANN Algorithm. IJCRT. 2026;14(3):h613-h617. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603912
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2603912,
author = {Dinesh Balaji S R and Tamil Ezhil R and Yoki Raj S},
title = {An Intelligent System for Real-Time Phishing URL Detection Using Hybrid ANN Algorithm},
journal = {International Journal of Creative Research Thoughts},
volume = {14},
number = {3},
pages = {h613-h617},
year = {2026},
month = {March},
issn = {2320-2882},
url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603912}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - R, Dinesh Balaji S
AU - R, Tamil Ezhil
AU - S, Yoki Raj
TI - An Intelligent System for Real-Time Phishing URL Detection Using Hybrid ANN Algorithm
T2 - International Journal of Creative Research Thoughts
JA - IJCRT
VL - 14
IS - 3
PY - 2026
SN - 2320-2882
UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603912
SP - h613-h617
ER -
Issue
Volume 14 Issue 3,
March-2026
Pages : h613-h617
Article Information
- Pages
- h613-h617
- Published
- March 2026
- Registration ID
- IJCRT_304071
- Published Paper ID
- IJCRT2603912
- Research Area
- Science and Technology
- Author Type
- Indian Author
- Location
- Madurai, Tamil Nadu, India
- Peer Review
- Request Peer Review Report
- Licence
- CC BY 4.0 · Open Access
- ISSN & Impact Factor
- 2320-2882 · IF 9.17
- Downloads
- 162
- Permanent Link
- https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603912
- Published Paper PDF
- https://ijcrt.org/papers/IJCRT2603912.pdf
Summarise this Paper with AI
Opens your assistant with a prepared prompt. AI summaries can be incomplete or wrong — read the full paper before citing it.
Author Services
Certificates, printed copies and official reports for this paper
Published authors can request a hard copy of their certificate or of the printed journal, and obtain the transparent peer review and plagiarism reports for this article — each issued against this paper’s registration record.
Registration ID IJCRT_304071Printed copies
Hard Copy of CertificatePrinted certificate for each author, posted to you.
Hard Copy of JournalA bound printed copy of the issue this paper appears in.
Reports & recognition
Transparent Peer Review Report
The reviewer comments and decisions behind this article.
Turnitin Plagiarism Report
The similarity check run on this manuscript.
Best Paper Nomination
Put this article forward for the issue’s best paper award.
Requests are verified against the registration ID of this article.
About Publisher
International Journal of Creative Research Thoughts
Published by IJCRT Publication
2320-2882
ISSN
9.17
Impact Factor
2013
ESTD Year
Open
Access
Impact Factor 9.17, calculated from Google Scholar citation data — see how it is worked out.
An international scholarly open access journal: peer-reviewed, refereed, multidisciplinary, monthly and multilingual, with Crossref DOI registration, rich metadata and a citation generator. Verified indexing & discovery records.
IJCRT is a Transparent, Peer-Reviewed, Open Access Journal (Refereed Journal). Following the discontinuation of UGC and UGC-CARE journal listing, IJCRT is aligned with UGC’s Suggested Parameters for Choosing Peer-Reviewed Journals. UGC Public Notice
Licence
© 2026 — Authors hold the copyright of this article.
This work is licensed under a
Creative Commons Attribution 4.0 International License
and The Open Definition.
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0),
which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
Disclaimer:
The content, data and findings in this article are based on the authors’ research and have been
peer-reviewed for academic purposes only. Readers are advised to verify all information before practical
or commercial use. The journal and its editorial board are not liable for any errors, losses or
consequences arising from its use.
Declarations
Funding
No external funding was received for this study.
Conflict of Interest
The authors declare that they have no conflict of interest.
Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal of Creative Research Thoughts for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
About the Journal
9.17Impact Factor
UGC AlignedSuggested Parameters
TransparentPeer Review
Open AccessNo Paywall
CrossrefDOI Available
Monthly12 Issues / Year
Since 2013Established
2320-2882ISSN
How Publication Works
1Submit Your PaperOnline or by email. A registration ID is issued straight away.
2Transparent Peer ReviewDouble-blind review by subject experts, reported openly.
3AcceptanceThe result reaches you by email and SMS against your registration ID.
4Published Open AccessFree to read worldwide, with certificate and letter ready to download.
Article Impact
48Views
41Downloads
89Total reads
Mar 2026Published
Published · 202 days ago
Today · last read today
1.8 views and 1.5 downloads per day over 27 days counted.
Counts exclude identified crawler traffic and repeat hits from the same reader within 30 minutes. Downloads reached directly through a search engine or an existing citation link are not included, so the figure is a conservative count of activity through this site. Full statistics
Discovery & Indexing
Find this paper on search engines and scholarly indexes, and check the journal’s verified records.
Find this paperSearch
Google ScholarExact-title search, with citing articles once indexed.Search
CrossrefMetadata search across all Crossref records.Search
Semantic ScholarAI-powered literature search.Search- BASEBASEBielefeld Academic Search Engine — open-access harvester.Search
ResearchGateResearch network publication search.Search
Journal recordsVerified
“Search” opens a live search for this paper; “Verified” opens a journal record checked on the Indexing & Discovery page. Third-party services index at their own discretion, often several weeks after publication.
