Detecting Fake Accounts on Social Media Using ML

Year : 2024 | Volume :11 | Issue : 02 | Page : –
By

Abhishek Agrawal

Priyanka Baste

Snigdha Take

Sachin Tupe

S. N. Botekar

  1. Student Department Of Computer Engineering, Jawahar Education Society’s Institute Of Engineering, Nashik Maharashtra India
  2. Student Department Of Computer Engineering, Jawahar Education Society’s Institute Of Engineering, Nashik Maharashtra India
  3. Student Department Of Computer Engineering, Jawahar Education Society’s Institute Of Engineering, Nashik Maharashtra India
  4. Student Department Of Computer Engineering, Jawahar Education Society’s Institute Of Engineering, Nashik Maharashtra India
  5. Professor Department Of Computer Engineering, Jawahar Education Society’s Institute Of Engineering, Nashik Maharashtra India

Abstract

The growing frequency of fake accounts on social media platforms underscores the critical necessity for effective detection methods. In response to this challenge, our study leverages state-of-the-art machine learning techniques to identify and counter deceptive entities effectively. By conducting a thorough analysis of social media data, our approach unveils intricate patterns indicative of fraudulent accounts, enabling proactive measures against them. Through the application of advanced algorithms, we present a comprehensive methodology for the identification and mitigation of such accounts, addressing current online security challenges and anticipating future trends. Moreover, our research not only contributes significantly to enhancing cybersecurity within the realm of social media but also lays the groundwork for future advancements in this field. By integrating machine learning methods, our study offers a nuanced and highly effective approach, thereby bolstering the overall security landscape of online platforms. This paper serves to underscore the considerable strides made in social media security and provides a robust foundation for further research and development initiatives aimed at safeguarding users from malicious activities.

Keywords: [ML] Machine Learning, [NLP] Natural Language Processing, [ROC] Receiver Operating Characteristic, [AUC] Area Under the Curve, [TPR] True Positive Rate, [FPR] False Positive Rate, [SVM] Support Vector Machines.

[This article belongs to Journal of Mobile Computing, Communications & Mobile Networks(jomccmn)]

How to cite this article: Abhishek Agrawal, Priyanka Baste, Snigdha Take, Sachin Tupe, S. N. Botekar. Detecting Fake Accounts on Social Media Using ML. Journal of Mobile Computing, Communications & Mobile Networks. 2024; 11(02):-.
How to cite this URL: Abhishek Agrawal, Priyanka Baste, Snigdha Take, Sachin Tupe, S. N. Botekar. Detecting Fake Accounts on Social Media Using ML. Journal of Mobile Computing, Communications & Mobile Networks. 2024; 11(02):-. Available from: https://journals.stmjournals.com/jomccmn/article=2024/view=152515

References

  1. Gayathri A, Radhika S, Jayalakshmi SL. Detecting fake accounts in media application using machine learning. International Journal of Advanced Networking and Applications. 2019:234-7.
  2. Voitovych O, Kupershtein L, Holovenko V. Detection of Fake Accounts in Social Media. Кібербезпека: освіта, наука, техніка. Том 2,№ 18: 86-98.. 2022.
  3. Rao KS, Gutha S, Raju DB. Detecting fake account on social media using machine learning algorithms. International Journal of Control and Automation. 2020 Apr;13(1):95-100.
  4. Romanov A, Semenov A, Mazhelis O, Veijalainen J. Detection of fake profiles in social media-Literature review. InInternational conference on web information systems and technologies 2017 Apr 25 (Vol. 2, pp. 363-369). SCITEPRESS.
  5. Khaled S, El-Tazi N, Mokhtar HM. Detecting fake accounts on social media. In2018 IEEE international conference on big data (big data) 2018 Dec 10 (pp. 3672-3681). IEEE.
  6. Bhambar S, Khairnar K, Nikam Y, Shelar H, Desai YK. DETECTING FAKE ACCOUNTS ON SOCIAL MEDIA USING NEURAL NETWORK. International Research Journal of Modernization in Engineering Technology and Science. 2022;4(5).
  7. Bhambar S, Khairnar K, Nikam Y, Shelar H, Desai YK. DETECTING FAKE ACCOUNTS ON SOCIAL MEDIA USING NEURAL NETWORK. International Research Journal of Modernization in Engineering Technology and Science. 2022;4(5).
  8. Jyoti Singh And Mohammad Zunnun Khan, Department of Computer Science and Engineering Integral University, Lucknow. “ DETECTION OF FAKE PROFILE IN SOCIAL MEDIA ”JETIR, Volume 6, Issue 6, June 2019.
  9. Kadam N, Sharma SK. Social media fake profile detection using data mining technique. Journal of Advances in Information Technology Vol. 2022 Oct;13(5).
  10. Suchita Amey Bhovar HOD & Assistant Professor, Department of Computer Applications Smt. P. N. Doshi Women’s College, Mumbai, India, “STUDY OF DIFFERENT METHODOLOGIES TO DETECT FAKE ACCOUNT ON SOCIAL MEDIA USING MACHINE LEARNING”, Volume 12 Issue 2, February 2023 ISSN: 2319-7064 SJIF 7.942, 2022
Regular Issue Subscription Review Article
Volume 11
Issue 02
Received March 22, 2024
Accepted June 25, 2024
Published June 29, 2024
Views: 14