Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)

<Previous Article In Volume
Next Article In Volume>

Profile Imposter Detection On Instagram Using XGboost And SVM Algorithm

Authors
Shrija Madhu1, *, Neeli Gowri Sreelakshmi1, Gandham Roshitha Madhuri1, Panapana Shanmukha1, Dulla Venkata Rajesh1, Yendluri Venkata Sai Bhanu1
1Department of Computer Science and Engineering, Godavari Institute of Engineering & Technology, Rajanagaram, Andhra Pradesh, India
*Corresponding author. Email: shrija@giet.ac.in
Corresponding Author
Shrija Madhu
Available Online 30 July 2024.
DOI
10.2991/978-94-6463-471-6_141How to use a DOI?
Keywords
XGBoost; SVM; profile imposter detection; Instagram
Abstract

In today's world, everyone relies heavily on social media. The vast majority of individuals nowadays regularly use social media as their primary means of communication. Social networking site membership is growing exponentially every day, and many users are chatting with people across the world regardless of time or place. This offers another vector for attack, such as fabricated information. Our study focuses on determining if an Instagram account is real or fake. In order to determine whether newly provided account information is from a legitimate user or an imposter, an algorithm will be trained using historical data on both types of accounts. To identify fake profiles, we employed machine learning methods like XGBoost Algorithm and SVM. The given dataset is pre-processed using multiple different Python tools, and the resulting results are compared to build a realistic method. For the purpose of identifying fake profiles, we compare the results of the classification algorithms XGBoost and SVM Algorithm.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
Series
Advances in Computer Science Research
Publication Date
30 July 2024
ISBN
10.2991/978-94-6463-471-6_141
ISSN
2352-538X
DOI
10.2991/978-94-6463-471-6_141How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Shrija Madhu
AU  - Neeli Gowri Sreelakshmi
AU  - Gandham Roshitha Madhuri
AU  - Panapana Shanmukha
AU  - Dulla Venkata Rajesh
AU  - Yendluri Venkata Sai Bhanu
PY  - 2024
DA  - 2024/07/30
TI  - Profile Imposter Detection On Instagram Using XGboost And SVM Algorithm
BT  - Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
PB  - Atlantis Press
SP  - 1453
EP  - 1461
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-471-6_141
DO  - 10.2991/978-94-6463-471-6_141
ID  - Madhu2024
ER  -