Leveraging Machine Learning for Fraudulent Social Media Profile Detection
Fake social media profiles are responsible for various cyber-attacks, spreading fake news, identity theft, business and payment fraud, abuse, and more. This paper aims to explore the potential of Machine Learning in detecting fake social media profiles by employing various Machine Learning algorithm...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2024-03-01
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| Series: | Cybernetics and Information Technologies |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/cait-2024-0007 |
| _version_ | 1827309661118791680 |
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| author | Ramdas Soorya Agnes Neenu N. T. |
| author_facet | Ramdas Soorya Agnes Neenu N. T. |
| author_sort | Ramdas Soorya |
| collection | DOAJ |
| description | Fake social media profiles are responsible for various cyber-attacks, spreading fake news, identity theft, business and payment fraud, abuse, and more. This paper aims to explore the potential of Machine Learning in detecting fake social media profiles by employing various Machine Learning algorithms, including the Dummy Classifier, Support Vector Classifier (SVC), Support Vector Classifier (SVC) kernels, Random Forest classifier, Random Forest Regressor, Decision Tree Classifier, Decision Tree Regressor, MultiLayer Perceptron classifier (MLP), MultiLayer Perceptron (MLP) Regressor, Naïve Bayes classifier, and Logistic Regression. For a comprehensive evaluation of the performance and accuracy of different models in detecting fake social media profiles, it is essential to consider confusion matrices, sampling techniques, and various metric calculations. Additionally, incorporating extended computations such as root mean squared error, mean absolute error, mean squared error and cross-validation accuracy can further enhance the overall performance of the models. |
| first_indexed | 2024-04-24T19:45:20Z |
| format | Article |
| id | doaj.art-75a420340b8b4cd3a04775d514e912e5 |
| institution | Directory Open Access Journal |
| issn | 1314-4081 |
| language | English |
| last_indexed | 2024-04-24T19:45:20Z |
| publishDate | 2024-03-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Cybernetics and Information Technologies |
| spelling | doaj.art-75a420340b8b4cd3a04775d514e912e52024-03-25T07:30:01ZengSciendoCybernetics and Information Technologies1314-40812024-03-0124111813610.2478/cait-2024-0007Leveraging Machine Learning for Fraudulent Social Media Profile DetectionRamdas Soorya0Agnes Neenu N. T.1Department of Computer Science, St. Albert’s College, IndiaDepartment of Computer Science, St. Albert’s College, IndiaFake social media profiles are responsible for various cyber-attacks, spreading fake news, identity theft, business and payment fraud, abuse, and more. This paper aims to explore the potential of Machine Learning in detecting fake social media profiles by employing various Machine Learning algorithms, including the Dummy Classifier, Support Vector Classifier (SVC), Support Vector Classifier (SVC) kernels, Random Forest classifier, Random Forest Regressor, Decision Tree Classifier, Decision Tree Regressor, MultiLayer Perceptron classifier (MLP), MultiLayer Perceptron (MLP) Regressor, Naïve Bayes classifier, and Logistic Regression. For a comprehensive evaluation of the performance and accuracy of different models in detecting fake social media profiles, it is essential to consider confusion matrices, sampling techniques, and various metric calculations. Additionally, incorporating extended computations such as root mean squared error, mean absolute error, mean squared error and cross-validation accuracy can further enhance the overall performance of the models.https://doi.org/10.2478/cait-2024-0007dummy classifiersvc classifierrandom forest classifierdecision tree classifiermlp (multilayer perceptron) classifier |
| spellingShingle | Ramdas Soorya Agnes Neenu N. T. Leveraging Machine Learning for Fraudulent Social Media Profile Detection Cybernetics and Information Technologies dummy classifier svc classifier random forest classifier decision tree classifier mlp (multilayer perceptron) classifier |
| title | Leveraging Machine Learning for Fraudulent Social Media Profile Detection |
| title_full | Leveraging Machine Learning for Fraudulent Social Media Profile Detection |
| title_fullStr | Leveraging Machine Learning for Fraudulent Social Media Profile Detection |
| title_full_unstemmed | Leveraging Machine Learning for Fraudulent Social Media Profile Detection |
| title_short | Leveraging Machine Learning for Fraudulent Social Media Profile Detection |
| title_sort | leveraging machine learning for fraudulent social media profile detection |
| topic | dummy classifier svc classifier random forest classifier decision tree classifier mlp (multilayer perceptron) classifier |
| url | https://doi.org/10.2478/cait-2024-0007 |
| work_keys_str_mv | AT ramdassoorya leveragingmachinelearningforfraudulentsocialmediaprofiledetection AT agnesneenunt leveragingmachinelearningforfraudulentsocialmediaprofiledetection |