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

M.K. Chae, Abeer Alsadoon, P.W.C. Prasad, A. Elchouemi

Research output: Book chapter/Published conference paperConference paperpeer-review

6 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 publication2017 IEEE 7th annual computing and communication workshop and conference
Subtitle of host publicationIEEE CCWC - 2017
EditorsSatyajit Chakrabarti, Himadri Nath Saha
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1-7
Number of pages7
ISBN (Electronic)9781509042289
ISBN (Print)9781509042296 (Print on demand)
DOIs
Publication statusPublished - 01 Mar 2017
Event7th IEEE Annual Computing and Communication Workshop and Conference : IEEE CCWC 2017 - Hotel Stratosphere, Las Vegas, United States
Duration: 09 Jan 201711 Jan 2017
https://web.archive.org/web/20170302034156/http://ieee-ccwc.org/ (Conference website)
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7864800 (Conference proceedings)

Conference

Conference7th IEEE Annual Computing and Communication Workshop and Conference
Country/TerritoryUnited States
CityLas Vegas
Period09/01/1711/01/17
OtherWe are proud to present IEEE CCWC 2017 which will provide an opportunity for researchers, educators and students to discuss and exchange ideas on issues, trends, and developments in Computing and Communication. The conference aims to bring together scholars from different disciplinary backgrounds to emphasize dissemination of ongoing research in the fields of in Computing and Communication. Contributed papers are solicited describing original works in the above mentioned fields and related technologies. The conference will include a peer-reviewed program of technical sessions, special sessions, business application sessions, tutorials, and demonstration sessions.
This conference will also promote an intense dialogue between academia and industry to bridge the gap between academic research, industry initiatives, and governmental policies. This is fostered through panel discussions, keynotes, invited talks and industry exhibits where academia is exposed to state-of-practice and results from trials and interoperability experiments. The industry in turn benefits by exposure to leading-edge research in networking as well as the opportunity to communicate with academic researchers regarding practical problems that require further research.
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