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Reseach Article

A Novel Technique for Spam Mail Detection using Dendric Cell Algorithm

by Rekha, Sandeep Negi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 97 - Number 6
Year of Publication: 2014
Authors: Rekha, Sandeep Negi
10.5120/17014-7293

Rekha, Sandeep Negi . A Novel Technique for Spam Mail Detection using Dendric Cell Algorithm. International Journal of Computer Applications. 97, 6 ( July 2014), 37-41. DOI=10.5120/17014-7293

@article{ 10.5120/17014-7293,
author = { Rekha, Sandeep Negi },
title = { A Novel Technique for Spam Mail Detection using Dendric Cell Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 97 },
number = { 6 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 37-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume97/number6/17014-7293/ },
doi = { 10.5120/17014-7293 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:23:25.846327+05:30
%A Rekha
%A Sandeep Negi
%T A Novel Technique for Spam Mail Detection using Dendric Cell Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 97
%N 6
%P 37-41
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Today most of the personal and professional communication is done using the electronic media such as E-Mailing, SMS etc. But these all services also suffer from the problem of unwanted messages or the communicating information called Spam. The Spam Message can be an email virus, charity latter, commercial advertisement etc. But it affects the user time, memory and the attention. In this paper, a DCA based improved decision tree approach is suggested to identify the spam emails over the dataset. The work is implemented in integrated weka environment. The obtained result from the system shows the effective identification of spam mails over the dataset.

References
  1. Aleksander Kojcz, "The challenges of service-side personalized spam ltering: scalability and beyond", Proceedings of the 1st international conference on Scalable information systems, May 2006
  2. Anirban Dasgupta, "Enhanced Email Spam Filtering through Combining Similarity Graphs", Proceedings of the fourth ACM international conference on Web search and data mining, February 2011
  3. Anirudh Ramachandran, "Filtering Spam with Behavioral Blacklisting", Proceedings of the 14th ACM conference on Computer and communications security, October 2007
  4. Carlos Laorden, "Enhancing Scalability in Anomaly-based Email Spam Filtering", Proceedings of the 8th Annual Collaboration, Electronic messaging, Anti-Abuse and Spam Conference, September 2011
  5. Gordon V. Cormack, "Feature Engineering for Mobile (SMS) Spam Filtering", SIGIR'07, July 23–27, 2007, Amsterdam, The Netherlands. ACM, 2007
  6. John S. Whissell, "Clustering for Semi-Supervised Spam Filtering", Proceedings of the 8th Annual Collaboration, Electronic messaging, Anti-Abuse and Spam Conference, September 2011
  7. José María Gómez Hidalgo, "Content Based SMS Spam Filtering", Proceedings of the 2006 ACM symposium on Document engineering, October 2006
  8. Kuldeep Yadav, "SMSAssassin: Crowdsourcing Driven Mobile-based System for SMS Spam Filtering", Proceedings of the 12th Workshop on Mobile Computing Systems and Application ACM, March 2011
  9. Miklós Erdélyi, "Web Spam Filtering in Internet Archives", Proceedings of the 5th International Workshop on Adversarial Information Retrieval on the Web, April 2009
  10. Pattaraporn Klangpraphant, "E-Mail Authentication System: A Spam Filtering for Smart Senders", Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human, November 2009
Index Terms

Computer Science
Information Sciences

Keywords

Spam Email DCA Decision Tree Secure Communication