A novel machine learning‐based framework for detecting fake Instagram profiles-Reference-Cited by-同舟云学术

A novel machine learning‐based framework for detecting fake Instagram profiles

Published:2022-10 Issue:28 Volume:34 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Kaushik Keshav¹,Bhardwaj Akashdeep¹^ORCID,Kumar Manoj²^ORCID,Gupta Sachin Kumar³^ORCID,Gupta Abhishek⁴

Affiliation:

1. School of Computer Science University of Petroleum and Energy Studies Dehradun India

2. Faculty of Engineering and Information Sciences University of Wollongong in Dubai, Dubai Knowledge Park Dubai United Arab Emirates

3. School of Electronics & Communication Engineering Shri Mata Vaishno Devi University Katra India

4. School of Computer Science & Engineering Shri Mata Vaishno Devi University Katra India

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.7349

Reference22 articles.

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2. Identifying Fake Accounts on Social Networks Based on Graph Analysis and Classification Algorithms

3. ZareiK FarahbakhshR CrespiN.How impersonators exploit instagram to generate fake engagement. Proceedings of the IEEE International Conference on Communications Dublin 2020:1‐6; IEEE. doi:10.1109/ICC40277.2020.9149431

4. AkyonFC Esat KalfaogluM.Instagram fake and automated account detection. Proceedings of the 2019 Innovations in Intelligent Systems and Applications Conference (ASYU);2019:1‐7. doi:10.1109/ASYU48272.2019.8946437

5. ThejasGS SoniJ ChandnaK IyengarSS SunithaNR PrabakarN.Learning‐based model to fight against fake like clicks on Instagram posts. Proceedings of the IEEE SOUTHEASTCON Conference;2019. doi:10.1109/SoutheastCon42311.2019.9020533

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