Integrated Approach for Detecting Fake Profiles By Utilizing a Hybrid of K-Means Clustering with Some Supervised Machine Learning Algorithms-Reference-Cited by-同舟云学术

Integrated Approach for Detecting Fake Profiles By Utilizing a Hybrid of K-Means Clustering with Some Supervised Machine Learning Algorithms

Published:2024-04-18 Issue: Volume:16 Page:1-6
ISSN:
Container-title:Proceedings of the 7th International Conference on Networking, Intelligent Systems and Security
language:
Short-container-title:

Author:

Ismail Benssasi¹^ORCID,Oussama Ndama¹^ORCID,Mohamed Kouissi²^ORCID,ElMokhtar En-naimi³^ORCID

Affiliation:

1. Data Science Artificial Intelligence and Smart Systems (DSAI2S) Research Team, C3S Laboratory , Abdelmalek Essaadi University of Tetuan, Morocco and Data Science Artificial Intelligence and Smart Systems (DSAI2S) Research Team, C3S Laboratory , Faculty of Sciences and Technologies of Tangier, Morocco

2. Data Science Artificial Intelligence and Smart Systems (DSAI2S) Research Team, C3S Laboratory , Abdelmalek Essaadi University of Tetuan, Morocco and Data Science Artificial Intelligence and Smart Systems (DSAI2S) Research Team, C3S Laboratory , Polydisciplinary Faculty of Larache, Morocco

3. Data Science Artificial Intelligence and Smart Systems (DSAI2S) Research Team, C3S Laboratory, Abdelmalek Essaadi University of Tetuan, Morocco and Data Science Artificial Intelligence and Smart Systems (DSAI2S) Research Team, C3S Laboratory , Faculty of Sciences and Technologies of Tangier, Morocco

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3659677.3659743

Reference30 articles.

1. Fake profile detection techniques in large-scale online social networks: A comprehensive review

2. Fake profile detection techniques in large-scale online social networks: A comprehensive review

3. Use of Artificial Neural Networks to Identify Fake Profiles

4. Fake Accounts Detection on Twitter Using Blacklist

5. DeepProfile: Finding fake profile in online social network using dynamic CNN