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IDENTIFING OF PHONY ACCOUNTS ACROSS ONLINE SOCIAL NETWORKS BY USING SEMANTIC NETWORK
ISSN: 2456 - 4265
Publisher: author
IDENTIFING OF PHONY ACCOUNTS ACROSS ONLINE SOCIAL NETWORKS BY USING SEMANTIC NETWORK
Indexed in
Technology and Engineering
ARTICLE-FACTOR
1.3
Article Basics Score: 2
Article Transparency Score: 2
Article Operation Score: 3
Article Articles Score: 3
Article Accessibility Score: 3
SUBMIT PAPER ASK QUESTION
International Category Code (ICC):
ICC-1802
Publisher: Nisaab Publishers
International Journal Address (IAA):
IAA.ZONE/2456396694265
eISSN
:
2456 - 4265
VALID
ISSN Validator
Abstract
Considering the current state of affairs, it's clear that most people's attention is focused on online social networks. Everyone from kids to adults spends a lot of time on these sites, either socializing or doing work. In today's world, however, these platforms are plagued by a rising number of phony identities that exploit security flaws in order to steal from the sites or to steal from other users who are themselves committing cybercrimes. However, with this rise in online networking comes a rise in issues such as profile forgery and online impersonation. When phony users upload information online, it fills up user feeds with information they don't need. Twenty percent to forty percent of profiles on social networking sites like Facebook have been shown to be fictitious. Thus, a framework-based solution has emerged for identifying phony accounts in social media. Keywords: Keywords: ML, FP, E-commerce, Monitoring of product reviews,...
