Analysis of Classifications of Unsolicited Bulk Emails
In recent times, the problem of Unsolicited Bulk
Email (UBE) or commonly known as Spam Email, has increased at a
tremendous growth rate. We present an analysis of survey based on
classifications of UBE in various research works. There are many
research instances for classification between spam and non-spam
emails but very few research instances are available for classification
of spam emails, per se. This paper does not intend to assert some
UBE classification to be better than the others nor does it propose
any new classification but it bemoans the lack of harmony on number
and definition of categories proposed by different researchers. The
paper also elaborates on factors like intent of spammer, content of
UBE and ambiguity in different categories as proposed in related
research works of classifications of UBE.
[1] Anderson D. S., Fleizach C., Savage S. and Voelker G. M. "Spamscatter:
Characterizing Internet Scam Hosting Infrastructure", in Proceedings of
16th USENIX Security Symposium, Boston MA, Article 10, 2007. ISBN:
111-333-5555-77-9
[2] Evett D. "Spam Statistics 2006", TopTenREVIEWS Inc. Available:
http://spam-filter-review.toptenreviews.com/ spam-statistics.html
[3] Federal Trade Commission. "False Claims in Spam", A report by the
United States FTC Division of Marketing Practices, April 30, 2003
[4] Gajewski W. P. "Adaptive Naïve Bayesian Anti-spam Engine", in
Proceedings of World Academy of Science, Engineering and Technology
(PWASET 2005), Pages 45-50 Volume 7 August 2005 ISSN 1307-6884
[5] Hsiao W. F. and Chang T. M. (2008). "An incremental cluster-based
approach to spam filtering", in International Journal of Expert Systems
with Applications, 34(3), April 2008, pp. 1599-1608
[6] Kaspersky Labs. "Types of Spam", Available:
http://www.viruslist.com/en/spam/info?chapter=153350533
[7] Klinkenberg R. and Joachims T. "Detecting concept drift with support
vector machines", in Proceedings of 17th International Conference on
Machine Learning (ICML-00), Stanford, CA, 2000, pp. 487-494
[8] Ma W., Tran D. and Sharma D. "Filtering Spam Email with Flexible
Preprocessors", Advances in Communication Systems and Electrical
Engineering, Lecture Notes in Electrical Engineering, Volume 4, 2008,
pp. 211-227. ISBN 978-0-387-74937-2
[9] McAfee Inc. "Current Spam Categories". Available:
http://www.mcafee.com/us/threat_center/
anti_spam/spam_categories.html
[10] Nelson R. "The Definition of Email Spam". Available:
http://www.crynwr.com/spam/definition.html
[11] Sahami M., Dumais S., Heckerman D. and Horvitz E. "A Bayesian
Approach to Filtering Junk E-mail", Learning for Text Categorization:
Papers from the 1998 Workshop, Madison, Wisconsin: AAAI
Workshop, TR AAAI WS-98-05, pp. 550-562
[12] Saini J. R., Desai A. A. "A Survey of Classifications of Unsolicited Bulk
Emails", in National Journal of Computer Science and Technology
(NJCST), 2010. ISSN 0975-2463 [to be published]
[13] SC Staff 1. "200 billion spam messages sent daily as spammers change
tactics for 2009". Available: http://www.scmagazineuk.com/200-
billion-spam-messages-sent-daily-as-spammers-change-tactics-for-
2009/emailArticle/122908/
[14] SC Staff 2. "Volumes of spam predicted to rise in 2009". Available:
http://www.scmagazineuk.com/Volumes-of-spam-predicted-to-rise-in-
2009/emailArticle /122996/
[15] ScamBusters Editors. "Email Scam Analysis", Scamdex, Scambusters
[Online], Issue No. 292. Available:
http://www.scamdex.com/MHON/E/msg08805.php
[16] Security Software Zone Inc. "Types of Spam", August 2006. Available:
http://www.securitysoftwarezone.com/reviews-spam-blocker-4.html
[17] Sen P. "Types of Spam", Interactive Advertising, Fall 2004. Available:
http://ciadvertising.org/sa/fall_04/adv391k/paroma/
spam/types_of_spam.htm
[18] Sophos Inc. "Sophos identifies the most prevalent spam categories of
2005", August 3, 2005. Available:
http://www.sophos.com/pressoffice/news/articles/2005/08/pr_uk_20050
803topfive-cats.html
[19] SpamAssassin. "SpamAssassin" Available: http://spamassassin.org
[20] Stephenson P. "Email Content Management", in SC Magazine for IT
Security Professionals, UK June 02, 2008. Available:
http://www.scmagazineuk.com/Email-content-management-
2008/GroupTest/129/
[21] The Spam Register. "Spam Email Directory: Categorized Spam Emails".
Available: http://www.spamreg.com/ directory.php
[22] Threat Research and Content Engineering (TRACE). "Spam Type
Descriptions", TRACE Blog. Available:
http://www.marshal.com/TRACE/Spam_Types.asp
[23] Vipul. "The Fallacy of Corpus Anti-spam Evaluation", Balance Through
Extremism, Archive for the Antispam category, June 20, 2008. Available:
http://blog.vipul.net/2008/06/20/the-fallacy-of-corpus-anti-spamevalutation/
[24] Wikipedia, the free encyclopedia. "E-mail", Wikimedia Foundation Inc.
Available: http://en.wikipedia.org/wiki/Email
[25] Worcester Polytechnic Institute. "Junk (SPAM) Email Frequently Asked
Questions (FAQ), Worcester Polytechnic Institute, Worcester, January
31, 2006. Available:
http://www.wpi.edu/Academics/CCC/Help/Email/spamfaq.html
[26] Zahren B. "Blizzard of Spam". Available:
http://www.pcpitstop.com/news/blizzard.asp
[1] Anderson D. S., Fleizach C., Savage S. and Voelker G. M. "Spamscatter:
Characterizing Internet Scam Hosting Infrastructure", in Proceedings of
16th USENIX Security Symposium, Boston MA, Article 10, 2007. ISBN:
111-333-5555-77-9
[2] Evett D. "Spam Statistics 2006", TopTenREVIEWS Inc. Available:
http://spam-filter-review.toptenreviews.com/ spam-statistics.html
[3] Federal Trade Commission. "False Claims in Spam", A report by the
United States FTC Division of Marketing Practices, April 30, 2003
[4] Gajewski W. P. "Adaptive Naïve Bayesian Anti-spam Engine", in
Proceedings of World Academy of Science, Engineering and Technology
(PWASET 2005), Pages 45-50 Volume 7 August 2005 ISSN 1307-6884
[5] Hsiao W. F. and Chang T. M. (2008). "An incremental cluster-based
approach to spam filtering", in International Journal of Expert Systems
with Applications, 34(3), April 2008, pp. 1599-1608
[6] Kaspersky Labs. "Types of Spam", Available:
http://www.viruslist.com/en/spam/info?chapter=153350533
[7] Klinkenberg R. and Joachims T. "Detecting concept drift with support
vector machines", in Proceedings of 17th International Conference on
Machine Learning (ICML-00), Stanford, CA, 2000, pp. 487-494
[8] Ma W., Tran D. and Sharma D. "Filtering Spam Email with Flexible
Preprocessors", Advances in Communication Systems and Electrical
Engineering, Lecture Notes in Electrical Engineering, Volume 4, 2008,
pp. 211-227. ISBN 978-0-387-74937-2
[9] McAfee Inc. "Current Spam Categories". Available:
http://www.mcafee.com/us/threat_center/
anti_spam/spam_categories.html
[10] Nelson R. "The Definition of Email Spam". Available:
http://www.crynwr.com/spam/definition.html
[11] Sahami M., Dumais S., Heckerman D. and Horvitz E. "A Bayesian
Approach to Filtering Junk E-mail", Learning for Text Categorization:
Papers from the 1998 Workshop, Madison, Wisconsin: AAAI
Workshop, TR AAAI WS-98-05, pp. 550-562
[12] Saini J. R., Desai A. A. "A Survey of Classifications of Unsolicited Bulk
Emails", in National Journal of Computer Science and Technology
(NJCST), 2010. ISSN 0975-2463 [to be published]
[13] SC Staff 1. "200 billion spam messages sent daily as spammers change
tactics for 2009". Available: http://www.scmagazineuk.com/200-
billion-spam-messages-sent-daily-as-spammers-change-tactics-for-
2009/emailArticle/122908/
[14] SC Staff 2. "Volumes of spam predicted to rise in 2009". Available:
http://www.scmagazineuk.com/Volumes-of-spam-predicted-to-rise-in-
2009/emailArticle /122996/
[15] ScamBusters Editors. "Email Scam Analysis", Scamdex, Scambusters
[Online], Issue No. 292. Available:
http://www.scamdex.com/MHON/E/msg08805.php
[16] Security Software Zone Inc. "Types of Spam", August 2006. Available:
http://www.securitysoftwarezone.com/reviews-spam-blocker-4.html
[17] Sen P. "Types of Spam", Interactive Advertising, Fall 2004. Available:
http://ciadvertising.org/sa/fall_04/adv391k/paroma/
spam/types_of_spam.htm
[18] Sophos Inc. "Sophos identifies the most prevalent spam categories of
2005", August 3, 2005. Available:
http://www.sophos.com/pressoffice/news/articles/2005/08/pr_uk_20050
803topfive-cats.html
[19] SpamAssassin. "SpamAssassin" Available: http://spamassassin.org
[20] Stephenson P. "Email Content Management", in SC Magazine for IT
Security Professionals, UK June 02, 2008. Available:
http://www.scmagazineuk.com/Email-content-management-
2008/GroupTest/129/
[21] The Spam Register. "Spam Email Directory: Categorized Spam Emails".
Available: http://www.spamreg.com/ directory.php
[22] Threat Research and Content Engineering (TRACE). "Spam Type
Descriptions", TRACE Blog. Available:
http://www.marshal.com/TRACE/Spam_Types.asp
[23] Vipul. "The Fallacy of Corpus Anti-spam Evaluation", Balance Through
Extremism, Archive for the Antispam category, June 20, 2008. Available:
http://blog.vipul.net/2008/06/20/the-fallacy-of-corpus-anti-spamevalutation/
[24] Wikipedia, the free encyclopedia. "E-mail", Wikimedia Foundation Inc.
Available: http://en.wikipedia.org/wiki/Email
[25] Worcester Polytechnic Institute. "Junk (SPAM) Email Frequently Asked
Questions (FAQ), Worcester Polytechnic Institute, Worcester, January
31, 2006. Available:
http://www.wpi.edu/Academics/CCC/Help/Email/spamfaq.html
[26] Zahren B. "Blizzard of Spam". Available:
http://www.pcpitstop.com/news/blizzard.asp
@article{"International Journal of Information, Control and Computer Sciences:52924", author = "Jatinderkumar R. Saini and Apurva A. Desai", title = "Analysis of Classifications of Unsolicited Bulk Emails", abstract = "In recent times, the problem of Unsolicited Bulk
Email (UBE) or commonly known as Spam Email, has increased at a
tremendous growth rate. We present an analysis of survey based on
classifications of UBE in various research works. There are many
research instances for classification between spam and non-spam
emails but very few research instances are available for classification
of spam emails, per se. This paper does not intend to assert some
UBE classification to be better than the others nor does it propose
any new classification but it bemoans the lack of harmony on number
and definition of categories proposed by different researchers. The
paper also elaborates on factors like intent of spammer, content of
UBE and ambiguity in different categories as proposed in related
research works of classifications of UBE.", keywords = "E-mail, Scams, Spam Email, Unsolicited Bulk Email(UBE)", volume = "4", number = "1", pages = "70-5", }
