A Collaborative and Early Detection of Email Spam Using Multitask Learning

Email spam has become a huge nuisance since the last couple of years. It not only wastes valuable time but is also extremely dangerous as well. The various solutions that exist to detect spam do so by manual input of keywords or filtering particular domains. But no matter the amount of filtering, it...

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Bibliographic Details
Published in:ECS transactions 2022-04, Vol.107 (1), p.4933-4943
Main Authors: Chelliah, Balika J, Sasidharan, Anand, Singh, Dharmesh Kumar, Dangi, Nilesh
Format: Article
Language:English
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Summary:Email spam has become a huge nuisance since the last couple of years. It not only wastes valuable time but is also extremely dangerous as well. The various solutions that exist to detect spam do so by manual input of keywords or filtering particular domains. But no matter the amount of filtering, it is quite tedious and difficult to check for spam. This paper includes a unique solution that attempts to use deep neural network, a machine learning technique which detects any pattern of recurrent words which may have been classified as spam. Every other parameter of the email is examined as a feature and applied accordingly to the machine learning algorithm. Deep neural network is quite advanced and can easily differentiate between a proper and an improper output.
ISSN:1938-5862
1938-6737
DOI:10.1149/10701.4933ecst