The Economic Impact of Social Media Fraud and it's Remedies

International Journal of Machine Learning and Networked Collaborative Engineering

View Publication Info
 
 
Field Value
 
Title The Economic Impact of Social Media Fraud and it's Remedies
 
Creator Mahmud, Shakik
Chakraborty, Dip
Tasnim, Lamiya
Jahan, Nusrat Tahira
Mohammad , Farhan Ferdous
 
Subject Social media
Online Fraud
Economic Impact
Fraudsters Trap
Spamming
Deep Learning
IT-based solution
 
Description This paper presents the economic impact of social media fraud in Bangladesh and its IT-based prevention model. Online privacy and security problems become a big concern of online day by day. Many types of problems growing up here, for example, phishing, hacking, sabotage, etc. Social media is a popular and powerful tool to express personal life and also business purposes in Bangladesh. Social communicating websites such as Facebook, Twitter, WhatsApp, and LinkedIn are popular social sites. Facebook is the most popular one. By these media people communicate with their other friends, family and share thoughts, photos, videos and lots of data and also many types of business and commerce have developed on social media. Presently, people just depend on it, so it’s marketing value increases day by day well. As well as some Tech fraud groups have been formed and wake up to hack money in some tricky way in this big virtual society. At present, social media is one of the key areas for fraudsters. We will show in this paper based on our study in two ways, (i) how much money is being spent through it; (ii) IT-based prevention model of this problem. 
 
Publisher SR Informatics, New Delhi, India
 
Date 2020-08-17
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://www.mlnce.net/index.php/Home/article/view/135
 
Source International Journal of Machine Learning and Networked Collaborative Engineering; Vol. 4 No. 01 (2020): Volume No 04 Issue No 01; 30-39
2581-3242
 
Language eng
 
Relation http://www.mlnce.net/index.php/Home/article/view/135/77
 
Rights Copyright (c) 2020 International Journal of Machine Learning and Networked Collaborative Engineering
http://creativecommons.org/licenses/by-nc-nd/4.0
 

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