An Effecient Approach to Detect Fraud Instagram Accounts Using Supervised ML Algorithms
subject: Decision Tree; Fake account; Fraud-Detection; Instagram; Logistic Regression; Random Forest; SVM
description: Nowadays social media plays a vital role in different fields including business, economic communication and personal. Many person get profit from the different origins of availability of data from these social media, but cyber-crimes are increasing day by day. A person can generate many fake accounts and hence pretenders can easily be made. Instagram, as one of the popular types of online social media site, carries big information and messages through the posts. Most of the person use Instagram as a digital life marketing place because it is a one of the big social media site. The goal of the research paper is to recognize and stop fake IDs and pages. Because through the professional pages of Instagram, many fake cases and things are occurring present days. So the main thing is to recognize fake pages and fake accounts also. In this paper, we work on various IDs of Instagram. We want to observe an ID is real or not using Machine Learning techniques namely Logistic Regression, Naive Bayes, Support vector machine, Decision tree, Random Forest. 2022 IEEE.
creator: Das S.; Saha S.; Vijayalakshmi S.; Jaiswal J.
source: Proceedings - 2022 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022, pp. 760-764.
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2022-01-01
rights: Restricted Access
relation: ISBN: 978-166547436-8
format: Online
language: English
type: Conference paper
coverage: Das S., Christ University, India; Saha S., Christ University, India; Vijayalakshmi S., Christ University, India; Jaiswal J., Christ University, India