Turkish Journal of Computer and Mathematics Education
Journal license

Journal

Turkish Journal of Computer and Mathematics Education


Volume
& Issue

Volume 11, Issue 3


Published
on


Pages

1109-1117


DOI

Article

An automatic real – time email spammer detection and fake data identification on social media


Authors

B. Tirupathi Kumar Affiliation:
Malla Reddy Institute of Technology, Kompally, Maisammaguda, Dulapally, Secunderabad, 500100
, P. Deepthi Affiliation:
Malla Reddy Institute of Technology, Kompally, Maisammaguda, Dulapally, Secunderabad, 500100
and M. Kalimuthu Affiliation:
Malla Reddy Institute of Technology, Kompally, Maisammaguda, Dulapally, Secunderabad, 500100


Abstract

Social networking sites have a tremendous influence on the lives of millions of people every day. A large number of popular social networking sites have been hijacked by spammers, who are utilising them to transmit a wide range of harmful and meaningless content. allowing a large number of spam messages to be delivered. Fake Twitter accounts send out spammy tweets to real people in order to promote products or websites. Users and resources are both harmed by this practise. An rising number of people are utilising phoney IDs to send out dangerous drugs, making it easier for them to distribute them. When it comes to online social networks, Twitter studies are becoming more prominent (OSNs). Twitter spammers are examined in this study. User attributes (e.g. content characteristics, graph features), structural aspects (such as the graph's structure), as well as temporal characteristics, may be split down into four groups (such as how long the tweets are active). This webpage is a helpful resource for researchers who are looking for the most current information on Twitter spam detection.


Keywords

Classification, fake user detection, Online social network, spammer’s identification


Citation

Kumar, B. T., Deepthi, P., & Kalimuthu, M. (2020). An automatic real – time email spammer detection and fake data identification on social media. Turkish Journal of Computer and Mathematics Education, 11(3), 1109–1117.

Published by: Engineering Journals

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