PHISHING WEBSITE DETECTION USING MACHINE LEARNING BY ANALYZING URL

PHISHING WEBSITE DETECTION USING MACHINE LEARNING BY ANALYZING URL

Registration ID: IJNRD_195203

Published ID: IJNRD2305558

DOI: Click Here to Get

Kartik Gandhi , Gaurav Bhandari , Himanshu Gupta , Vishwesh Patil

Phishing, Cyber Security, Machine Learning, Website Classification

Nowadays, everyone is highly dependent on the internet. Our financial work, office-related work, shopping, and any other daily activities have been moved to the internet. This really makes our daily lives easy but at the same time, we are also exposed to greater risks through the internet which are cybercrimes. Phishing is a cybercrime in which attackers often imitate some popular banking and e-commerce sites and tries to steal the user’s sensitive information as well as the login credentials and credit card numbers. They target both individuals and organizations, convince them to click on URLs that look legit and secure, and steal the information or inject malware into the system. So, as the internet grows, URL detection becomes very important to provide timely protection to individuals and organizations. In this project, we aim to implement various machine-learning algorithms to analyze the URLs with the dataset and URL features to train the machine-learning models.

Published Paper   E-Certificate

"PHISHING WEBSITE DETECTION USING MACHINE LEARNING BY ANALYZING URL", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 5, page no.f338-f340, May-2023, Available :https://ijnrd.org/papers/IJNRD2305558.pdf

Volume 8 Issue 5, May-2023

Pages : f338-f340

Paper Reg. ID: IJNRD_195203

Published Paper Id: IJNRD2305558

Downloads: 000121166

Research Area: Computer Engineering 

Country: Pimpri Pune, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305558.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305558

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

Indexing In Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar | AI-Powered Research Tool, Microsoft Academic, Academia.edu, arXiv.org, Research Gate, CiteSeerX, ResearcherID Thomson Reuters, Mendeley : reference manager, DocStoc, ISSUU, Scribd, and many more

How to submit the paper?

Important Dates for Current issue

Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area