Skip to main content
View expanded cover

International Conference on Emerging Research in Computing, Information, Communication and Applications

ERCICA 2016: Emerging Research in Computing, Information, Communication and Applications pp 219–227Cite as

Mitigating Spam Emails Menace Using Hybrid Spam Filtering Approach

Abstract

Spam is a known problem to email users. Sending spam emails is one of the easiest form of advertising and hence a useful medium of communication like email is abused by spammer to send junk email. Most antispam solution focus only on analysing text of the body of email messages for detecting spam emails. We have developed a spam filter that separates spam from non-spam (ham) emails by analysing header, URL, body, and attachments. Header and URL are checked against rules and text of body and attachments are checked by Bayesian classifier and Apriori algorithm. Only (*.rtf, *.txt, *.docx, *.doc,*.pdf) attachment files are examined. The experimental results reveal that checking attachments of emails played significant role in spam detection and hence attachment checks should be extended to more file types for better spam detection.

Keywords

  • Email
  • Spam
  • Bayesian
  • Apriori

This is a preview of subscription content, access via your institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-981-10-4741-1_20
  • Chapter length: 9 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   299.00
Price excludes VAT (USA)
  • ISBN: 978-981-10-4741-1
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   379.99
Price excludes VAT (USA)
Hardcover Book
USD   379.99
Price excludes VAT (USA)
Learn about institutional subscriptions
Fig. 1
Fig. 2
Fig. 3
Fig. 4

References

  1. “Internet threats trend report”, Commtouch, April 2013.

    Google Scholar 

  2. https://www.spamhaus.org/statistics/countries, March 2016.

  3. G. Bhagyashri and H. Pratap “Auto emails classification using Bayesian filter”, International Journal of Advanced technology & Engineering Research, vol 3, Issue 4, July 2013.

    Google Scholar 

  4. Smera Rockey and Rekha Sunny “A hybrid spam filtering technique using Bayesian spam filters and aritificial Immunity Spam Filters” International Journal of engineering research and technology”, vol 3, Issue 5, May 2014.

    Google Scholar 

  5. Sushama Chouhan, “Behavior Analysis of SVM Based Spam Filtering Using Various Kernel Functions and Data Representations”, IJERT, vol. 2, Issue 9, September – 2013.

    Google Scholar 

  6. B.Gaikwad and P. Halkarnikar, “Random Forest Technique for E-mail Classification”, International Journal of Scientific & Engineering Research, vol 5, Issue 3, March-2014

    Google Scholar 

  7. Nadir Omer, Othman Ibrahim and Waheeb “An improved spam email classification mechanism using K means clustering”, vol 60, No 3, February 2014.

    Google Scholar 

  8. Ali Aski “A Proposed Algorithm for Spam Filtering Emails by hash table approach”, International Research Journal of Applied and Basic Sciences vol.4 (9), 2436–2441, 2013.

    Google Scholar 

  9. Omar Al-Jarrah, Ismail Khater and Basheer Al-Duwairi “Identifying Potentially Useful Email Header Features for Email Spam Filtering”, ICDS 2012: The Sixth International Conference on Digital Society.

    Google Scholar 

  10. Alberto Treviño, J. J. Ekstrom “Spam Filtering Through Header Relay Detection”, Brigham Young University.

    Google Scholar 

  11. Fernando Sanchez,Zhenhai Duan,Yingfei Dong “Understanding Forgery Properties of Spam Delivery Paths”.

    Google Scholar 

  12. E. Damini,S. De Capitani di Vimercati and P.Samarati “An Open Digest-based Technique for Spam Detection”, DTI - University di Milano - 26013 Crema, Italy.

    Google Scholar 

  13. E. Damiani, S. De Capitani di Vimercati, S. Paraboschi, and P. Samarati. “An open digest-based technique for spam detection”. In Proceedings of The 2004 International Workshop on Security in Parallel and Distributed Systems, San Francisco, CA, USA, September 2004.

    Google Scholar 

  14. Sarju,Riju Thomas and Emilin shyni “Spam email detection using structural featues”, International Journal of computer Applications,vol 89, issue 3, March 2014.

    Google Scholar 

  15. Ram B. Basnet, Andrew H. Sung, Quingzhong Liu “Learning to detect phishing URL” IJRET: International Journal of Research in Engineering and Technology.

    Google Scholar 

  16. https://www.spamhaus.org/

  17. G.SenthilKumar, S.Bhaskar and M.Rajendran “Online Message categorization using Apriori algorithm”, International journal of computer trends and technology, June 2011.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science & Engineering, D. Y. Patil College of Engineering & Technology, Kolhapur, India

    Stanlee Nagaroor & G. A. Patil

Authors
  1. Stanlee Nagaroor
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. G. A. Patil
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Stanlee Nagaroor .

Editor information

Editors and Affiliations

  1. Nitte Meenakshi Institute of Technology, Nitte Education Trust, Bengaluru, Karnataka, India

    Prof. Dr. N. R. Shetty

  2. IISc and INSA, National Institute of Advanced Studies, Bengaluru, Karnataka, India

    Prof. Dr. L. M. Patnaik

  3. Master of Computer Applications, Nitte Meenakshi Institute of Technology, Bengaluru, Karnataka, India

    Dr. N. H. Prasad

  4. Nitte Meenakshi Institute of Technology, Bengaluru, Karnataka, India

    N. Nalini

Rights and permissions

Reprints and Permissions

Copyright information

© 2018 Springer Nature Singapore Pte Ltd.

About this paper

Verify currency and authenticity via CrossMark

Cite this paper

Nagaroor, S., Patil, G.A. (2018). Mitigating Spam Emails Menace Using Hybrid Spam Filtering Approach. In: Shetty, N., Patnaik, L., Prasad, N., Nalini, N. (eds) Emerging Research in Computing, Information, Communication and Applications. ERCICA 2016. Springer, Singapore. https://doi.org/10.1007/978-981-10-4741-1_20

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-4741-1_20

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-4740-4

  • Online ISBN: 978-981-10-4741-1

  • eBook Packages: EngineeringEngineering (R0)