Survey on Fake Profile Detection in Social Media
Abstract
In the present generation, online social networks
(OSNs) have become increasingly popular, people’s social lives keep in touch with each other, share news, organize events, and even run their own e-business. The rapid growth of OSNs and the massive amount of personal data of its users have attracted attackers, and imposters to steal personal data, share false news, and spread malicious activities. On the other hand researchers have started to investigate efficient technique to detect abnormal
activities and fake accounts using machine learning algorithms. The various machine learning models widely used for fake profile detection are Support Vector Machine, Decision Tree, Neural Networks, Random Forest, Naive Bayes and K-nearest Neighbor
Keywords:
Accounts, Fake Profiles, Accuracy, Machine Learning Algorithms
Published
Issue
Section
License
Copyright (c) 2023 International Journal on Emerging Research Areas
This work is licensed under a Creative Commons Attribution 4.0 International License.
All published work in this journal is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Similar Articles
- Fabeela Ali Rawther, Akhil P Dominic, Alan James, Christy Chacko, Elena Maria Varghese, Early Detection of Attention Deficiency Using ML , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- M Sreedharsh, S Saurav, Albin Joseph, Sravan Chandran , Lida K Kuriakose, Childhood Epilepsy Syndrome Classification through a Deep Learning Network with Clinical History Integration , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Aleena Joseph, Diya Paramesh G, Elza Mary Thomas, Gayathri V, Anu V Kottath, A Review on Comparison of VGG-16 and DenseNet algorithms for analysing brain tumor in MRI image , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Joel Lee George, Karthik S Kumar , Riya Merce Thomas, Roshan Roy Varghese, Simy Mary Kurian, Epidemo A Machine Learning Regression-Based , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Syam Gopi, Evelyn Susan Jacob, Joel John, Raynell Rajeev, Steve Alex, Survey on AI Malware Detection Methods and Cybersecurity Education , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Arun Robin, Tijo Thomas Titus, Ms. Minu Cherian, Improved Handwritten Digit Recognition Using Deep Learning Technique , International Journal on Emerging Research Areas: Vol. 3 No. 2 (2023): IJERA
- Shiney Thomas, Elsa George, Alphonsa Francis, Anna Job, Ann Maria James, Wildlife Detection And Recognition Using YOLO V8 , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Tom Kurian, Ektha P S, Chethana Raj T, Diona Joseph, Annu Mary Abraham, Intelligent Disease Prediction in Hydroponic Systems Using Machine Learning , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Anna N Kurian, Amitha Anil, Andriya Raju, Ancita J Feriah, Aiswarya Lakshmi Navami, Deep Learning based Multimodal Brain MRI Tumor Classification as a Diagnostic Tool to Benefit Clinical Applications , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Tebin Joseph, Pranav Thamban Nair, Sam Kattiveettil James, Mrs Tintu Alphonsa Thomas , Pest Prediction in Rice using IoT and Feed Forward Neural Network , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
You may also start an advanced similarity search for this article.