Instagram Fake Profile Detection Using Machine Learning
Keywords:
Fake Profile Detection, Instagram, Machine Learning, Support Vector Machine, Social Media SecurityAbstract
With the rapid expansion of social media platforms, there has been a noticeable rise in the creation of fake profiles, often exploited for harmful purposes such as fraud, spreading false information, and online harassment. This study introduces a method for detecting fraudulent Instagram accounts through the application of Machine Learning, focusing on the Support Vector Machine (SVM) algorithm. The model distinguishes between authentic and fake profiles by analyzing features like the follower-to-following ratio, user engagement statistics, and the level of profile completion. The experimental findings indicate that the SVM model performs with high accuracy, proving to be an effective tool for enhancing digital safety.
Downloads
References
BHATTACHARYA, P., & SAHA, S. (2021). FAKE PROFILE DETECTION IN SOCIAL MEDIA USING MACHINE LEARNING: A COMPREHENSIVE REVIEW.
AKHTAR, M. M., & RAZA, A. (2020). A SURVEY ON FAKE PROFILE DETECTION TECHNIQUES ON SOCIAL MEDIA: A MACHINE LEARNING PERSPECTIVE. INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS, 176(2), 9–16. DOI: 10.5120/IJCA2020918585
LIU, Y., & ZHANG, L. (2018). SOCIAL MEDIA FAKE PROFILE DETECTION WITH MACHINE LEARNING AND GRAPH-BASED MODELS. IN 2018 IEEE 15TH INTERNATIONAL CONFERENCE ON E-BUSINESS ENGINEERING (ICEBE) (PP. 83–89). DOI: 10.1109/ICEBE.2018.00025
BHARDWAJ, R., & SHARMA, D. (2020). DETECTION OF FAKE PROFILES ON SOCIAL MEDIA USING MACHINE LEARNING ALGORITHMS. IN PROCEEDINGS OF THE 2020 11TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING, DATA SCIENCE & ENGINEERING (CONFLUENCE) (PP. 174–179). DOI: 10.1109/CONFLUENCE47610.2020.9094604
ZHANG, X., & CHEN, Y. (2019). A COMPREHENSIVE SURVEY OF FAKE PROFILE DETECTION IN ONLINE SOCIAL NETWORKS USING DATA MINING TECHNIQUES. IEEE ACCESS, 7, 65527–65537. DOI: 10.1109/ACCESS.2019.2916404
MOCHIZUKI, M., & KITAGAWA, A. (2020). MACHINE LEARNING APPROACH FOR FAKE PROFILE DETECTION IN SOCIAL MEDIA NETWORKS. IN 2020 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIGDATA) (PP. 533–540). DOI: 10.1109/BIGDATA50022.2020.9378349
MASON, S., & ZHANG, J. (2021). FAKE PROFILE DETECTION WITH ENSEMBLE LEARNING IN SOCIAL MEDIA PLATFORMS. INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS, 11(1), 1–15. DOI: 10.1007/S41060-020-00217-W
JOUILI, R., & LAMINE, N. (2019). ENSEMBLE-BASED APPROACH FOR FAKE PROFILE DETECTION IN SOCIAL NETWORKS. IN 2019 IEEE 5TH INTERNATIONAL CONFERENCE ON MOBILE CLOUD COMPUTING, SERVICES, AND ENGINEERING (MOBILECLOUD) (PP. 21–28). DOI: 10.1109/MOBILECLOUD.2019.00016
SINGH, P., & RANA, N. P. (2020). DETECTION OF FAKE PROFILES IN SOCIAL MEDIA USING MACHINE LEARNING: A SYSTEMATIC REVIEW AND FUTURE DIRECTIONS. COMPUTERS IN INDUSTRY, 118, 103218. DOI: 10.1016/J.COMPIND.2020.103218
AGERRI, R., & GARCIA-SERRANO, A. (2017). FAKE PROFILE DETECTION IN ONLINE SOCIAL NETWORKS USING GRAPH-BASED FEATURES. IN 2017 IEEE 13TH INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW) (PP. 72–79). DOI: 10.1109/ICDMW.2017.115
Downloads
Published
Issue
Section
License
Copyright (c) 2025 International Journal of Scientific Research in Science, Engineering and Technology
This work is licensed under a Creative Commons Attribution 4.0 International License.
