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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Fake Accounts Detection On Social Media using Machine Learning and Deep Learning |
| Authors Name: | Dr. G. Harinatha Reddy , C. Vinisha , M. Vamsi , P. Saileela , P. Sivarjuna |
| Unique Id: | IJSDR2304148 |
| Published In: | Volume 8 Issue 4, April-2023 |
| Abstract: | Online social networks (OSNs) have grown in popularity and are now more closely associated with people's social activities than ever before. They use OSNs to communicate with one another, exchange news, plan activities, and even operate their own online businesses. In order to steal personal information, spread malicious activities, and share false information, attackers and imposters have been drawn to OSNs because of their explosive growth and the vast quantity of personal data they collect from their users. On the other hand, academics have begun to look into effective methods for spotting suspicious activity and bogus accounts using account features and classification algorithms. However, some of the characteristics of the account that are exploited have an adverse effect on the results or have no effect at all. Additionally, using independent classification algorithms does not always produce satisfactory results. Four feature selection and dimension reduction techniques were used to create the decision tree in this paper, which is suggested to provide effective detection for fake Instagram accounts. To determine whether the target account was genuine or fake, four machine learning classification algorithms—Decision Tree, Random Forest, Logistic Regression, and CNN—were used. High-end machine learning algorithm CNN is a specific type of network design for deep learning algorithms that is employed for tasks requiring the processing of numerical data as well as dataset recognition. KEYWORDS: Decision Tree, Random Forest, Logistic Regression and CNN (Convolutional Neural Network) |
| Keywords: | Decision Tree, Random Forest, Logistic Regression and CNN (Convolutional Neural Network) |
| Cite Article: | "Fake Accounts Detection On Social Media using Machine Learning and Deep Learning", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.866 - 869, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304148.pdf |
| Downloads: | 000338720 |
| Publication Details: | Published Paper ID: IJSDR2304148 Registration ID:205258 Published In: Volume 8 Issue 4, April-2023 DOI (Digital Object Identifier): Page No: 866 - 869 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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