Logo
  • Home
  • About Us
    • Aim and Scope
    • Research Area
    • Impact Factor
    • Indexing
  • For Authors
    • Authors Guidelines
    • How to publish paper?
    • Download Paper format
    • Submit Manuscript
    • Processing Charges
    • Download Copyrights Form
    • Submit Payment-Copyrights
  • Archives
    • Current Issues
    • Past Issues
    • Conference Issues
    • Special Issues
    • Advance Search
  • IJARIIE Board
    • Join as IJARIIE Board
    • Advisory Board
    • Editorial Board
    • Sr. Reviewer Board
    • Jr. Reviewer Board
  • Proposal
    • Conferece Proposal
    • Special Proposal
    • Faqs
  • Contact Us
  • Payment Detail

Call for Papers:Vol.12 Issue.2

Submission
Last date
28-Apr-2026
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-12,Issue-2. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

  • How to Publish Paper
  • Submit Manuscript
  • Processing Charges
  • Submit Payment

Archives

  • Current Issue
  • Past Issue

IJARIIE Board

  • Member Of Board
  • Join As Board

Downloads

  • Authors Guidelines
  • Manuscript Template
  • Copyrights Form

Android App

Download IJARIIE APP
  • Authors
  • Abstract
  • Citations
  • Downloads
  • Similar-Paper

Authors

Title: :  Detection of Phishing Websites using Machine Learning
PaperId: :  14717
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 7 Issue 3 2021
DUI:    16.0415/IJARIIE-14717
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Anjali Dattatray PotdarAll India Shri Shivaji Memorial Society College of Engineering Pune
Revati Chandrashekhar PoteAll India Shri Shivaji Memorial Society College of Engineering Pune
Manorama Shrikisan JadhavAll India Shri Shivaji Memorial Society College of Engineering Pune
Shubhangi Kapurchand Sapkale All India Shri Shivaji Memorial Society College of Engineering Pune
Prof. Deepali UjalambkarAll India Shri Shivaji Memorial Society College of Engineering Pune

Abstract

Computer Engineering
Browser extensions, Extreme Learning Machine (ELM), (SVM) Support Vector Machine, URL Phishing Websites.
Phishing internet sites contents and internet-predicated consummately data includes varied hints. The victim’s personal and sensitive records is obtained by phishing sites, which lead them to surf a phishing internet site that resembles a valid internet site, that is one of the illegal assaults triumphing with inside the cyber world. The proposed a brilliant version for detecting phishing internet pages primarily predicated on Extreme Learning Machine. Types of internet pages are one of a kind in phrases in their features. Hence, we require to utilize a web page feature set to preserve any phishing assault. A Machine Learning approach is implemented to resist these attacks. The projected technique for importing phishing dataset, legitimate URLs from the database and data that is obtained are pre-processed. Phishing website detection is performed on four classes of URL features: domain, address, abnormal based, HTML, JavaScript features. With the aid of processed data URL features are extracted also, values for URL attribute are generated. URL analysis is performed by ML techniques that calculates the threshold value as well as range value for URL attributes. The objective of this project is to implement an ELM classification for several features and some phishing sites within the database.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Anjali Dattatray Potdar, Revati Chandrashekhar Pote, Manorama Shrikisan Jadhav, Shubhangi Kapurchand Sapkale , and Prof. Deepali Ujalambkar. "Detection of Phishing Websites using Machine Learning" International Journal Of Advance Research And Innovative Ideas In Education Volume 7 Issue 3 2021 Page 3063-3069
MLA Anjali Dattatray Potdar, Revati Chandrashekhar Pote, Manorama Shrikisan Jadhav, Shubhangi Kapurchand Sapkale , and Prof. Deepali Ujalambkar. "Detection of Phishing Websites using Machine Learning." International Journal Of Advance Research And Innovative Ideas In Education 7.3(2021) : 3063-3069.
APA Anjali Dattatray Potdar, Revati Chandrashekhar Pote, Manorama Shrikisan Jadhav, Shubhangi Kapurchand Sapkale , & Prof. Deepali Ujalambkar. (2021). Detection of Phishing Websites using Machine Learning. International Journal Of Advance Research And Innovative Ideas In Education, 7(3), 3063-3069.
Chicago Anjali Dattatray Potdar, Revati Chandrashekhar Pote, Manorama Shrikisan Jadhav, Shubhangi Kapurchand Sapkale , and Prof. Deepali Ujalambkar. "Detection of Phishing Websites using Machine Learning." International Journal Of Advance Research And Innovative Ideas In Education 7, no. 3 (2021) : 3063-3069.
Oxford Anjali Dattatray Potdar, Revati Chandrashekhar Pote, Manorama Shrikisan Jadhav, Shubhangi Kapurchand Sapkale , and Prof. Deepali Ujalambkar. 'Detection of Phishing Websites using Machine Learning', International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 3, 2021, p. 3063-3069. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Detection_of_Phishing_Websites_using_Machine_Learning_ijariie14717.pdf (Accessed : 23 April 2024).
Harvard Anjali Dattatray Potdar, Revati Chandrashekhar Pote, Manorama Shrikisan Jadhav, Shubhangi Kapurchand Sapkale , and Prof. Deepali Ujalambkar. (2021) 'Detection of Phishing Websites using Machine Learning', International Journal Of Advance Research And Innovative Ideas In Education, 7(3), pp. 3063-3069IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Detection_of_Phishing_Websites_using_Machine_Learning_ijariie14717.pdf (Accessed : 23 April 2024)
IEEE Anjali Dattatray Potdar, Revati Chandrashekhar Pote, Manorama Shrikisan Jadhav, Shubhangi Kapurchand Sapkale , and Prof. Deepali Ujalambkar, "Detection of Phishing Websites using Machine Learning," International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 3, pp. 3063-3069, May-Jun 2021. [Online]. Available: https://ijariie.com/AdminUploadPdf/Detection_of_Phishing_Websites_using_Machine_Learning_ijariie14717.pdf [Accessed : 23 April 2024].
Turabian Anjali Dattatray Potdar, Revati Chandrashekhar Pote, Manorama Shrikisan Jadhav, Shubhangi Kapurchand Sapkale , and Prof. Deepali Ujalambkar. "Detection of Phishing Websites using Machine Learning." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 7 number 3 (23 April 2024).
Vancouver Anjali Dattatray Potdar, Revati Chandrashekhar Pote, Manorama Shrikisan Jadhav, Shubhangi Kapurchand Sapkale , and Prof. Deepali Ujalambkar. Detection of Phishing Websites using Machine Learning. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2021 [Cited : 23 April 2024]; 7(3) : 3063-3069. Available from: https://ijariie.com/AdminUploadPdf/Detection_of_Phishing_Websites_using_Machine_Learning_ijariie14717.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 4/23/2024 3:02:53 PM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Unsupervised Contribution-Oriented Learning Model for Social Influence DetectionComputer EngineeringSnehal Mahjaan Download
DESIGN AND IMPLEMENTATION OF A BLUETOOTH-CONTROLLED ROBOTIC CAR USING ARDUINOComputer Mr. Swapnil Sanjay Bafana Download
AI-DRIVEN DEEPFAKE IDENTIFICATION IN REAL TIMEComputer EngineeringPavan Gajanan Bhonde Download
RESQ-BOTComputer Engineering Tiparkar Prathamesh Navnath Download
A Critical Review and Modern Contextualization of the 2009 Distributed Real-Time Computer Network Architecture (DRNA)Computer EngineeringNandishwar EN Download
Block-Chain Based Document Verification System using IPFSComputer EngineeringAkash Santosh Devade Download
A COMPREHENSIVE REVIEW OF DUAL FEATURE-BASED INTRUSION DETECTION SYSTEM FOR IoT NETWORK SECURITYComputer Science and EngineeringShrinidhi Hegde Download
Civica AI: A Politician-Centric Grievance Redressal and Service DirectoryComputer EngineeringKaranjule Dhanashri Bhausaheb Download
A Deep Learning Framework for Mood-Based Music Recommendation via Facial Expression AnalysisComputer Vaibhav Ashok Bhangare Download
GREEN NETWORKING: ENERGY-EFFICIENT PROTOCOLS AND SUSTAINABLE NETWORK DESIGN: A COMPREHENSIVE REVIEWComputer Science and EngineeringPradeep Nayak Download
DIABETIC RETINOPATHY DETECTION USING MACHINE LEARNINGComputer EngineeringSiddharth Shukracharya Rokade Download
PERSONALITY PREDICTION USING MLComputer EngineeringTanvi Dashrath Bhagat Download
Crop Disease Detectioncomputer Mansi Sunil Sansare Download
NEXT-GEN PLANT DISEASE DIAGNOSIS WITH GEN-AI AND DEEP LEARNINGComputer ScienceGuruprasad K Download
GEN-AI POWERED PIGEON PEA LEAF-DISEASE DETECTION USING DEEP-LEARNING AND COMPUTER-VISIONComputer ScienceRajshekar G Download
12
For Authors
  • Submit Paper
  • Processing Charges
  • Submit Payment
Archive
  • Current Issue
  • Past Issue
IJARIIE Board
  • Member Of Board
  • Join As Board
Privacy and Policy
Follow us

Contact Info
  • +91-8401209201 (India)
  • +86-15636082010 (China)
  • ijariiejournal@gmail.com
  • M-20/234 Ami Appt,
    Nr.Naranpura Tele-Exch,
    Naranpura,
    Ahemdabad-380063
    Gujarat,India.
Copyright © 2026. IJARIIE. All Rights Reserved.