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.11 Issue.3

Submission
Last date
28-Jun-2025
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-11,Issue-3. 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: :  USING XGBOOST WITH URL FEATURES FINDING OF MALICIOUS SOCIAL BOTS IN TWITTER
PaperId: :  16735
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 8 Issue 3 2022
DUI:    16.0415/IJARIIE-16735
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Mr.Abhale B.ASND College of Engineering and Research Center
Mr. Bankar V.ASND College of Engineering and Research Center
Miss. Pawar V.RSND College of Engineering and Research Center

Abstract

Computer Engineering
Vicious Social Bot, Phishing, Online Social Network, XGBOOST
Vicious social bots are a truly common issue in online social networks. These vicious social bots are being used for a number of purposes analogous as artificially amplifying the popularity of a person or movement, impacting choices, manipulating financial requests, spreading fake news. Therefore discovery of these bots in online social networks is of great significance. Social media platforms are unfit to apply further strict conditions for account creation because for a variety of reasons analogous as it may help some legit stoners from subscribing up, it will warrant the capability to maintain some obscurity for protestors under rough administrations, it may beget vexation to real stoners (CAPTCHAs are a good hindrance against bots, but it causes vexation for the humans). So alternatively machine knowledge algorithms were used to descry these vicious social bots. In this paper, we have proposed a XGBOOST algorithm and in order to increase the delicacy of discovery

Citations

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

IJARIIE Mr.Abhale B.A, Mr. Bankar V.A, and Miss. Pawar V.R. "USING XGBOOST WITH URL FEATURES FINDING OF MALICIOUS SOCIAL BOTS IN TWITTER" International Journal Of Advance Research And Innovative Ideas In Education Volume 8 Issue 3 2022 Page 1567-1571
MLA Mr.Abhale B.A, Mr. Bankar V.A, and Miss. Pawar V.R. "USING XGBOOST WITH URL FEATURES FINDING OF MALICIOUS SOCIAL BOTS IN TWITTER." International Journal Of Advance Research And Innovative Ideas In Education 8.3(2022) : 1567-1571.
APA Mr.Abhale B.A, Mr. Bankar V.A, & Miss. Pawar V.R. (2022). USING XGBOOST WITH URL FEATURES FINDING OF MALICIOUS SOCIAL BOTS IN TWITTER. International Journal Of Advance Research And Innovative Ideas In Education, 8(3), 1567-1571.
Chicago Mr.Abhale B.A, Mr. Bankar V.A, and Miss. Pawar V.R. "USING XGBOOST WITH URL FEATURES FINDING OF MALICIOUS SOCIAL BOTS IN TWITTER." International Journal Of Advance Research And Innovative Ideas In Education 8, no. 3 (2022) : 1567-1571.
Oxford Mr.Abhale B.A, Mr. Bankar V.A, and Miss. Pawar V.R. 'USING XGBOOST WITH URL FEATURES FINDING OF MALICIOUS SOCIAL BOTS IN TWITTER', International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, 2022, p. 1567-1571. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/USING_XGBOOST_WITH_URL_FEATURES_FINDING_OF_MALICIOUS_SOCIAL_BOTS_IN_TWITTER_ijariie16735.pdf (Accessed : 08 July 2024).
Harvard Mr.Abhale B.A, Mr. Bankar V.A, and Miss. Pawar V.R. (2022) 'USING XGBOOST WITH URL FEATURES FINDING OF MALICIOUS SOCIAL BOTS IN TWITTER', International Journal Of Advance Research And Innovative Ideas In Education, 8(3), pp. 1567-1571IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/USING_XGBOOST_WITH_URL_FEATURES_FINDING_OF_MALICIOUS_SOCIAL_BOTS_IN_TWITTER_ijariie16735.pdf (Accessed : 08 July 2024)
IEEE Mr.Abhale B.A, Mr. Bankar V.A, and Miss. Pawar V.R, "USING XGBOOST WITH URL FEATURES FINDING OF MALICIOUS SOCIAL BOTS IN TWITTER," International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, pp. 1567-1571, May-Jun 2022. [Online]. Available: https://ijariie.com/AdminUploadPdf/USING_XGBOOST_WITH_URL_FEATURES_FINDING_OF_MALICIOUS_SOCIAL_BOTS_IN_TWITTER_ijariie16735.pdf [Accessed : 08 July 2024].
Turabian Mr.Abhale B.A, Mr. Bankar V.A, and Miss. Pawar V.R. "USING XGBOOST WITH URL FEATURES FINDING OF MALICIOUS SOCIAL BOTS IN TWITTER." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 8 number 3 (08 July 2024).
Vancouver Mr.Abhale B.A, Mr. Bankar V.A, and Miss. Pawar V.R. USING XGBOOST WITH URL FEATURES FINDING OF MALICIOUS SOCIAL BOTS IN TWITTER. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2022 [Cited : 08 July 2024]; 8(3) : 1567-1571. Available from: https://ijariie.com/AdminUploadPdf/USING_XGBOOST_WITH_URL_FEATURES_FINDING_OF_MALICIOUS_SOCIAL_BOTS_IN_TWITTER_ijariie16735.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 7/8/2024 8:01:50 AM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
An Overview of Cybersecurity in Connected and Autonomous Vehicles (CAVs) Computer EngineeringVaishali Kailas Shinde Download
"Lossless Data Hiding in the NTRU Cryptosystem Using Polynomial Encoding and Modulation"Computer EngineeringSanjana Sanjay Udare Download
"Real-Time Forest Fire Detection Using FireNet-CNN and Explainable AI Methods"Computer EngineeringPriyanka Navanath Bale Download
Deep Convolutional Neural Network-Based Recognition of Air-WritingComputer Engineering Dhongde.V.S Download
Medical Assistance Chatbot using Artificial Intelligence and Machine LearningComputer Engineering Shaikh Akhil Shadul Pasha Download
AGRICARD: ONE PLATFORM FOR ALL AGRICUTURAL NEEDSComputer Engineering Patil Kalpesh Prashant Download
CHANGE DETECTION APPROACH FOR DETECTING DEFORESTATIONComputer EngineeringAbhishek Kailas Tekale Download
Transforming Rural Administration Through Digital Innovation: The E-Gram Panchayat ApproachComputer EngineeringMiss. Mali Mansi Kishor Download
AI-Augmented Systems for Medication AdherenceComputer scienceSushritha Harthi H.Y Download
AI-Based Analytics for Chronic Obstructive Pulmonary DiseaseComputer scienceAnusha B.C Download
Dynamic AI Models for Real-Time ICU MonitoringComputer scienceMouna Shree Gowda Download
Predictive AI Models for Emergency Room TriageComputer scienceAkshatha H.U Download
AI for Monitoring Neonatal Intensive Care UnitsComputer scienceDimple M.D Download
The Concept of AI-Enhanced Mental Health Analysis Through social mediaComputer scienceVarsha S Download
Enhancing Cardiovascular Disease Prediction Accurancy Through Optimized Machine Learning Techniquecomputer engineeringRajan Raman 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 © 2025. IJARIIE. All Rights Reserved.