Fake profile detection in social media using image processing and machine learning
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
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| Idioma: | English |
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Brac University
2021
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| Acesso em linha: | http://hdl.handle.net/10361/15002 |
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10361-150022022-01-26T10:23:15Z Fake profile detection in social media using image processing and machine learning Sen, Shuva Islam, Mohammad Intisarul Azim, Samiha Sofrana Norin, Fatema Akhtar Shuha, Samiha Tasnim Hossain, Muhammad Iqbal Sakeef, Nazmus Department of Computer Science and Engineering, Brac University Fake profile Machine Learning image recognition One Time Password k-means accuracy fraud Machine Learning This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021. Cataloged from PDF version of thesis. Includes bibliographical references (page 38). Almost everybody has a social media presence in today’s technologically advanced world. As a result, making fake accounts is very easy. The term ”fake profile” refers to a person who may pretend to be someone else. These accounts are mostly used to impersonate others and defame them. Furthermore, a fake account can be used for various reasons, including igniting political feuds, spreading misleading facts, and disseminating news about current sensitive topics. Since fake profiles pose such a serious threat to everyone, a model was proposed that might aid in the reduction of fake profiles. It can assist with identifying accounts that could be accused of being fraudulent, such as those without a profile photo. To ensure that each user has a unique profile, machine learning and image recognition was used in our model. Our model attempted to discourage users from creating accounts using the photo or knowledge of another person. To do this, One Time Password (OTP) was implemented so that fake users can not get the chance to create an account by using another person’s name. Fake accounts needed to identify by using deep learning from a real dataset of people’s answers. To detect the false results, the k-means algorithm was implemented on our dataset. When the k-means clustering algorithm was used on the dataset, it was discovered that our detection accuracy was 75.30 percent. Shuva Sen Mohammad Intisarul Islam Samiha Sofrana Azim Fatema Akhtar Norin Samiha Tasnim Shuha B. Computer Science 2021-09-14T05:58:18Z 2021-09-14T05:58:18Z 2021 2021-06 Thesis ID: 16101202 ID: 16301145 ID: 17101290 ID: 16301172 ID: 17201070 http://hdl.handle.net/10361/15002 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 30 pages application/pdf Brac University |
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Brac University |
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Institutional Repository |
| language |
English |
| topic |
Fake profile Machine Learning image recognition One Time Password k-means accuracy fraud Machine Learning |
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Fake profile Machine Learning image recognition One Time Password k-means accuracy fraud Machine Learning Sen, Shuva Islam, Mohammad Intisarul Azim, Samiha Sofrana Norin, Fatema Akhtar Shuha, Samiha Tasnim Fake profile detection in social media using image processing and machine learning |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021. |
| author2 |
Hossain, Muhammad Iqbal |
| author_facet |
Hossain, Muhammad Iqbal Sen, Shuva Islam, Mohammad Intisarul Azim, Samiha Sofrana Norin, Fatema Akhtar Shuha, Samiha Tasnim |
| format |
Thesis |
| author |
Sen, Shuva Islam, Mohammad Intisarul Azim, Samiha Sofrana Norin, Fatema Akhtar Shuha, Samiha Tasnim |
| author_sort |
Sen, Shuva |
| title |
Fake profile detection in social media using image processing and machine learning |
| title_short |
Fake profile detection in social media using image processing and machine learning |
| title_full |
Fake profile detection in social media using image processing and machine learning |
| title_fullStr |
Fake profile detection in social media using image processing and machine learning |
| title_full_unstemmed |
Fake profile detection in social media using image processing and machine learning |
| title_sort |
fake profile detection in social media using image processing and machine learning |
| publisher |
Brac University |
| publishDate |
2021 |
| url |
http://hdl.handle.net/10361/15002 |
| work_keys_str_mv |
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| _version_ |
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