Call for Papers:Vol.12 Issue.1

Submission
Last date		 28-Feb-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-1. 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

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Applying Machine Learning for Identifying Fraud Sites
PaperId: :  21142
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 4 2023
DUI:    16.0415/IJARIIE-21142
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Renuka Reddy AMC Engineering of College

Abstract

Computer science
To publishing the paper
Offenders looking for sensitive information create illicit clones of legitimate websites and e-mail accounts. The email will contain actual company logos and phrases. When a user clicks on one of these hackers' links, the hackers obtain access to all of the user's sensitive information, including bank account information, personal login passwords, and photos.Random Forest and Decision Tree algorithms are widely used in current systems, and their accuracy must be improved. The current models have a low latency. Existing systems lack a specialised user interface.

Citations

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

IJARIIE Renuka Reddy . "Applying Machine Learning for Identifying Fraud Sites" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 4 2023 Page 834-837
MLA Renuka Reddy . "Applying Machine Learning for Identifying Fraud Sites." International Journal Of Advance Research And Innovative Ideas In Education 9.4(2023) : 834-837.
APA Renuka Reddy . (2023). Applying Machine Learning for Identifying Fraud Sites. International Journal Of Advance Research And Innovative Ideas In Education, 9(4), 834-837.
Chicago Renuka Reddy . "Applying Machine Learning for Identifying Fraud Sites." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 4 (2023) : 834-837.
Oxford Renuka Reddy . 'Applying Machine Learning for Identifying Fraud Sites', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 4, 2023, p. 834-837. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Applying_Machine_Learning_for_Identifying_Fraud_Sites_ijariie21142.pdf (Accessed : 04 September 2023).
Harvard Renuka Reddy . (2023) 'Applying Machine Learning for Identifying Fraud Sites', International Journal Of Advance Research And Innovative Ideas In Education, 9(4), pp. 834-837IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Applying_Machine_Learning_for_Identifying_Fraud_Sites_ijariie21142.pdf (Accessed : 04 September 2023)
IEEE Renuka Reddy , "Applying Machine Learning for Identifying Fraud Sites," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 4, pp. 834-837, Jul-Aug 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/Applying_Machine_Learning_for_Identifying_Fraud_Sites_ijariie21142.pdf [Accessed : 04 September 2023].
Turabian Renuka Reddy . "Applying Machine Learning for Identifying Fraud Sites." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 4 (04 September 2023).
Vancouver Renuka Reddy . Applying Machine Learning for Identifying Fraud Sites. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : 04 September 2023]; 9(4) : 834-837. Available from: https://ijariie.com/AdminUploadPdf/Applying_Machine_Learning_for_Identifying_Fraud_Sites_ijariie21142.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 9/4/2023 9:30:57 AM

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
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
GEN-AI POWERED LIVER-DISEASE DETECTION USING DEEP-LEARNING AND COMPUTER-VISIONComputer ScienceDhananjay M Download
12