Spam detection using semantic web in mail services

  • Authors

    • S Bhavika
    • B Prema Sindhuri
    • G Bhavana
    2018-03-18
    https://doi.org/10.14419/ijet.v7i2.7.10255
  • Emails, Effective spam detection, Spam, Spam filter.

  • Abstract

    Electronic mails have become a part of our daily lives to exchange different type of information and messages. They provide a great medium to communicate with large number of people in a single stretch. This made so many marketing groups to think that email is a great platform for publicizing their goods or products. Not only are these marketers there so many other types of users who wants to make use of these emails for their own needs. As the time prolongs, this had become a problem for the other users because of the continuous undesired electronic messages sent by different marketing and some other unauthorized users. These messages are termed as spam messages. These spam mails have become a serious issue and there is a need to clear away all these junk mails. To do so different spam detection methodologies are developed and employed for providing an effective mailing service to the users. In this paper, we present various spam detection methods that are existing and also finding the accurate, effective and reliable spam detection method.

  • References

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  • How to Cite

    Bhavika, S., Prema Sindhuri, B., & Bhavana, G. (2018). Spam detection using semantic web in mail services. International Journal of Engineering & Technology, 7(2.7), 44-47. https://doi.org/10.14419/ijet.v7i2.7.10255

    Received date: 2018-03-18

    Accepted date: 2018-03-18

    Published date: 2018-03-18