Authors :
Shreyash Deshmukh; Gaurav Sati; Simran Kalaska; Mansha Gupta; Saurabh Vyas
Volume/Issue :
Volume 9 - 2024, Issue 11 - November
Google Scholar :
https://tinyurl.com/5xvearsm
Scribd :
https://tinyurl.com/48behdj8
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24NOV108
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
The proliferation of fake social media profiles
poses a significant threat to user security, trust, and the
integrity of online platforms. This project proposes a novel
system that leverages machine learning and blockchain
technology to combat this growing problem. The system
aims to accurately identify fake profiles by analyzing user
behavior, content, and relevant metrics. Blockchain
technology is employed to ensure data integrity,
transparency, and immutability in profile verification and
reporting. A secure and transparent reporting mechanism
is developed using blockchain to log and track reports of
fake profiles. The project aims to enhance user trust by
reducing the prevalence of fake profiles and creating a
more trustworthy online environment. The system also
facilitates secure data sharing between platforms to enable
collaboration in combating fake profiles while protecting
user privacy. The expected results include an accurate
detection system, an immutable reporting platform, and
enhanced trust and security on social media platforms.
This project represents a significant step forward in
addressing the challenges posed by fake social media
profiles and creating a more secure and trustworthy online
ecosystem.
References :
- IJARCET : - Fake Social Media Profile Detection and Reporting Using Machine Learning. https://ijarsct.co.in/Paper16695.pdf
- IRJET :- Fake Certificate Detection by using Blockchain.https://www.irjet.net/archives/V10/i7/IRJET-V10I745.pdf
- ICSCC:- Fake News Detection in Social Media using Blockchain. https://www.researchgate.net/publication/335935182_Fake_News_Detection_in_Social_Media_ using_Blockchain
- IJCRT : - FAKE ACCOUNT DETECTION USING MACHINE LEARNING. https://ijcrt.org/papers/IJCRT2106559.pdf
- "Fake Profile Detection in Social Media using Blockchain" by S. P. Raju et al. (2020) - This paper proposes a blockchain-based system for detecting fake social media profiles.
- "Blockchain-based Fake Profile Detection in Social Media" by K. P. Singh et al. (2020) - This paper presents a blockchain-based framework for detecting and reporting fake social media profiles.
- "Fake Profile Detection in Social Media using Machine Learning and Blockchain" by A. K. Singh et al. (2019) - This paper proposes a hybrid approach using machine learning and blockchain for detecting fake social media profiles.
- "A Blockchain-based System for Fake Profile Detection in Social Media" by M. K. Singh et al. (2019) - This paper presents a blockchain-based system for detecting and reporting fake social media profiles.
- Raju, S. P., Singh, A. K., & Kumar, R. (2020). Fake Profile Detection in Social Media using Blockchain. International Journal of Advanced Research in Computer Science, 11(2), 1-9.
- Singh, K. P., Singh, A. K., & Kumar, R. (2020). Blockchain-based Fake Profile Detection in Social Media. Journal of Information and Communication Technology, 20(1), 1-16.
- Singh, M. K., Kumar, R., & Kumar, P. (2019). A Blockchain-based System for Fake Profile Detection in Social Media. Journal of Network and Computer Applications, 129, 1-1
- "Blockchain Technology: Fundamentals and Applications" by Ashish Kumar et al. (2020) - This book provides a comprehensive overview of blockchain technology and its applications, including fake social media profile detection.
- "Social Media Analytics: Techniques and Tools for Extracting Insights from the Social Web" by Christopher C. Yang et al. (2018) - This book discusses various techniques and tools for social media analytics, including fake social media profile detection.
- "Fake Profile Detection in Social Media using Graph-based Methods" by A. K. Singh et al. (2020) - This article presents a graph-based approach for detecting fake social media profiles.
- "A Survey on Fake Profile Detection in Social Media" by S. P. Raju et al. (2020) - This article provides a comprehensive survey of various techniques and methods for detecting fake social media profiles.
- "Blockchain-based Fake Profile Detection in Social Media: A Systematic Review" by K. P. Singh et al. (2020) - This article provides a systematic review of blockchain-based fake social media profile detection systems. [9]
The proliferation of fake social media profiles
poses a significant threat to user security, trust, and the
integrity of online platforms. This project proposes a novel
system that leverages machine learning and blockchain
technology to combat this growing problem. The system
aims to accurately identify fake profiles by analyzing user
behavior, content, and relevant metrics. Blockchain
technology is employed to ensure data integrity,
transparency, and immutability in profile verification and
reporting. A secure and transparent reporting mechanism
is developed using blockchain to log and track reports of
fake profiles. The project aims to enhance user trust by
reducing the prevalence of fake profiles and creating a
more trustworthy online environment. The system also
facilitates secure data sharing between platforms to enable
collaboration in combating fake profiles while protecting
user privacy. The expected results include an accurate
detection system, an immutable reporting platform, and
enhanced trust and security on social media platforms.
This project represents a significant step forward in
addressing the challenges posed by fake social media
profiles and creating a more secure and trustworthy online
ecosystem.