Difference between revisions of "Spam"

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'''Spam''' is fraudulent [[email]] or [[email]] which matches a given pattern for faulty information or bulk messages sent to multiple unsolicited receivers. It is an increasing global epidemic on the [[internet]], with estimates that many employees now spend as much as 1/4 of their time sorting through '''spam''' [[email]]s, deleting messages from their inbox and/or freeing messages from their email account by purging their junk mail folder.
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'''Spam''' is [[email]] which is fraudulent or which matches a given pattern for faulty information, or excessive/bulk messages sent to multiple unsolicited receivers. It is an increasing global epidemic on the [[internet]], with estimates that many employees now spend as much as 1/4 of their [[email]] management/communication time sorting through '''spam''' [[email]]s, deleting messages from their inbox and/or freeing messages from their [[email]] account by purging their junk mail folder.
  
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== Tools ==
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* SpamBayes: http://spambayes.sourceforge.net/
  
  
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* Master NewMedia - How to Avoid the Junk Box (avoid being marked as SPAM): http://www.masternewmedia.org/news/2008/05/24/spam_checking_tools_and_tips.htm
 
* Master NewMedia - How to Avoid the Junk Box (avoid being marked as SPAM): http://www.masternewmedia.org/news/2008/05/24/spam_checking_tools_and_tips.htm
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== Tutorials ==
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* Stanford NLP and Java 9 - Creating an Email Spam Filter: https://dzone.com/articles/stanford-nlp-and-java-9creating-an-email-spam-filt
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* Naїve Bayesian Anti-Spam Filter Using Node.JS, JavaScript And Ajax Requests: https://www.codeproject.com/Articles/1229337/Na-ve-Bayesian-Anti-Spam-Filter-Using-Node-JS-Java
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* PHP Bayesian Spam Filter -- Detect spam in text using Bayesian techniques: https://www.phpclasses.org/package/4236-PHP-Detect-spam-in-text-using-Bayesian-techniques.html<ref>Combining individual probabilities in Naive Bayesian spam filtering: https://stackoverflow.com/questions/6463983/combining-individual-probabilities-in-naive-bayesian-spam-filtering</ref>
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* Bayesian Spam Filter using NLTK (Python): https://github.com/aashishsatya/Bayesian-Spam-Filter <ref>Bayesian spam filtering library for Python: https://stackoverflow.com/questions/558219/bayesian-spam-filtering-library-for-python</ref>
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* Bayesian Filtering for Spam tutorial: http://blog.datumbox.com/machine-learning-tutorial-the-naive-bayes-text-classifier/
  
  
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* [[wikipedia: Spam (electronic)]]
 
* [[wikipedia: Spam (electronic)]]
 
* [[wikipedia: Email spam]]
 
* [[wikipedia: Email spam]]
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* [[wikipedia: Naive Bayes spam filtering]]
 
* Domain registration scam in China: http://www.joewein.net/blog/2008/12/08/domain-registration-scam-in-china/
 
* Domain registration scam in China: http://www.joewein.net/blog/2008/12/08/domain-registration-scam-in-china/
 
* Diving deep into email spam statistics: http://royal.pingdom.com/2011/01/19/email-spam-statistics/
 
* Diving deep into email spam statistics: http://royal.pingdom.com/2011/01/19/email-spam-statistics/
 
* WikiMedia Spam – Lock Media Wiki Permissions down: http://blog.woodylabs.com/2009/10/wikimedia-spam-lock-media-wiki-permissions-down/
 
* WikiMedia Spam – Lock Media Wiki Permissions down: http://blog.woodylabs.com/2009/10/wikimedia-spam-lock-media-wiki-permissions-down/
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* WikiMedia - Manual:Preventing access: http://www.mediawiki.org/wiki/Manual:Preventing_access
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* Grum takedown - '50% of worldwide spam is gone': http://money.cnn.com/2012/07/19/technology/grum-spam-botnet/index.htm?iid=HP_LN
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* The Spam King: http://http://www.reviewjournal.com/lvrj_home/2003/Dec-14-Sun-2003/news/22615610.html
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* Evaluation of Bayesian Spam Filter and SVM SpamFilter: www.fun.ac.jp/~niimi/ronbun/TUE-3-3.pdf
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== References ==
  
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<references />
  
 
== See Also ==
 
== See Also ==
  
 
[[Email]] | [[Privacy]] | [[Security]]
 
[[Email]] | [[Privacy]] | [[Security]]

Latest revision as of 23:39, 20 April 2018

Spam is email which is fraudulent or which matches a given pattern for faulty information, or excessive/bulk messages sent to multiple unsolicited receivers. It is an increasing global epidemic on the internet, with estimates that many employees now spend as much as 1/4 of their email management/communication time sorting through spam emails, deleting messages from their inbox and/or freeing messages from their email account by purging their junk mail folder.




Tools


Resources


Tutorials


External Links

References

  1. Combining individual probabilities in Naive Bayesian spam filtering: https://stackoverflow.com/questions/6463983/combining-individual-probabilities-in-naive-bayesian-spam-filtering
  2. Bayesian spam filtering library for Python: https://stackoverflow.com/questions/558219/bayesian-spam-filtering-library-for-python

See Also

Email | Privacy | Security