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  • Modeling Spammer Behavior: Artificial Neural Network vs. Naïve Bayesian Classifier

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    IslamPUB5582.pdf (337.2Kb)
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    Version of Record (VoR)
    Author(s)
    Islam, Md. Saiful
    Islam, Md. Rafiqul
    Griffith University Author(s)
    Islam, Saiful
    Year published
    2011
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    Abstract
    The exponential growth of spam emails in recent years is a fact of life. Internet subscribers world-wide are unwittingly paying an estimated €10 billion a year in connection costs just to receive “junk” emails, according to a study undertaken for the European Commission. Though there is no universal definition of spam, unwanted and unsolicited commercial email as a mass mailing to a large number of recipients is basically known as the junk email or spam to the internet community. Spams are considered to be potential threat to Internet Security. Spam's direct effects include the consumption of computer and network resources ...
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    The exponential growth of spam emails in recent years is a fact of life. Internet subscribers world-wide are unwittingly paying an estimated €10 billion a year in connection costs just to receive “junk” emails, according to a study undertaken for the European Commission. Though there is no universal definition of spam, unwanted and unsolicited commercial email as a mass mailing to a large number of recipients is basically known as the junk email or spam to the internet community. Spams are considered to be potential threat to Internet Security. Spam's direct effects include the consumption of computer and network resources and the cost in human time and attention of dismissing unwanted messages. More importantly, these ever increasing spams are taking various forms and finding home not only in mailboxes but also in newsgroups, discussion forums etc without the consent of the recipients. Overflowing mailboxes are overwhelming users, causing newsgroups and discussion forums to be flooded with irrelevant or inappropriate messages. As a consequence, users are getting discouraged not to use them anymore though these systems can provide numerous benefits to them.
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    Book Title
    Artificial Neural Networks - Application
    DOI
    https://doi.org/10.5772/16002
    Copyright Statement
    © 2011 The Author(s). This is an open-access file distributed under the terms of the under CC BY-NC-SA 3.0 license, which permits non-commercial, unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
    Subject
    Information and Computing Sciences not elsewhere classified
    Publication URI
    http://hdl.handle.net/10072/370396
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    • Book chapters

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