Spam filtering email classification (SFECM) using gain and graph mining algorithm

M. K. Chae, Abeer Alsadoon, P. W.C. Prasad, Sasikumaran Sreedharan

Research output: Book chapter/Published conference paperConference paper

4 Citations (Scopus)

Abstract

This paper proposes a hybrid solution of spam email classifier using context based email classification model as main algorithm complimented by information gain calculation to increase spam classification accuracy. Proposed solution consists of three stages email pre-processing, feature extraction and email classification. Research has found that LingerIG spam filter is highly effective at separating spam emails from cluster of homogenous work emails. Also experiment result proved the accuracy of spam filtering is 100% as recorded by the team of developers at University of Sydney. The study has shown that implementing the spam filter in the context-based email classification model is feasible. Experiment of the study has confirmed that spam filtering aspect of context-based classification model can be improved.
Original languageEnglish
Title of host publicationProceedings of the 2017 2nd International Conference on Anti-Cyber Crimes (ICACC 2017)
EditorsSalem Alelyani , Justin Varghese , Nasser Tairan , Fahad Alahmari , Ali Aseere , Amjad Mohana , Adnan Al Bar
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages217-222
Number of pages6
ISBN (Electronic)9781509058136
DOIs
Publication statusPublished - 24 Apr 2017
Event2nd International Conference on Anti-Cyber Crimes: ICACC 2017 - King Khalid University, Abha, Saudi Arabia
Duration: 26 Mar 201727 Mar 2017
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7899160 (Conference proceedings)

Conference

Conference2nd International Conference on Anti-Cyber Crimes
CountrySaudi Arabia
CityAbha
Period26/03/1727/03/17
Internet address

Fingerprint Dive into the research topics of 'Spam filtering email classification (SFECM) using gain and graph mining algorithm'. Together they form a unique fingerprint.

  • Cite this

    Chae, M. K., Alsadoon, A., Prasad, P. W. C., & Sreedharan, S. (2017). Spam filtering email classification (SFECM) using gain and graph mining algorithm. In S. Alelyani , J. Varghese , N. Tairan , F. Alahmari , A. Aseere , A. Mohana , & A. Al Bar (Eds.), Proceedings of the 2017 2nd International Conference on Anti-Cyber Crimes (ICACC 2017) (pp. 217-222). [7905294] IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/Anti-Cybercrime.2017.7905294