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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 7 | Month- July 2024
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Published Paper Details:
Paper Title
Detecting Malicious Twitter Bot using Machine Learning and URL analysis
Authors
Bhavika Talele, Kuntal Rane, Abhishek Pohare, Prof.Satyajit Sirsat
Keywords
Detecting Malicious Twitter Bot using Machine Learning and URL analysis
Abstract
Social media platforms like Twitter face a growing challenge with the proliferation of malicious Twitter bots. These bots spread disinformation, manipulate public opinion, and engage in fraudulent activities, undermining trust in online spaces. To address this issue, our project focuses on detecting malicious Twitter bots using advanced machine learning techniques and URL analysis. By examining various features, including URL characteristics, we've developed a robust framework. We've trained models like Logistic Regression, Random Forest, Naive Bayes, and Decision Trees to classify Twitter accounts as malicious or benign. Our work contributes to enhancing social media security, protecting user trust, and combating fake accounts.
Keywords-- Malicious Twitter bots, Machine learning, URL analysis, Social media security, Classification, Logistic Regression, Random Forest, Naive Bayes, Decision Trees, User trust, Fake accounts.
IJCRT's Publication Details
Unique Identification Number - IJCRTAF02037
Paper ID - 261103
Page Number(s) - 180-185
Pubished in - Volume 12 | Issue 5 | May 2024
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Bhavika Talele, Kuntal Rane, Abhishek Pohare, Prof.Satyajit Sirsat, "Detecting Malicious Twitter Bot using Machine Learning and URL analysis", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 5, pp.180-185, May 2024, Available at :http://www.ijcrt.org/papers/IJCRTAF02037.pdf
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Volume 12 | Issue 7
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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