SPONGY (SPam ONtoloGY): Email Classification Using Two-Level Dynamic Ontology
Author
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-31
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Email is one of common communication methods between people on the Internet.
However, the increase of email misuse/abuse has resulted in an increasing volume of spam emails over recent years.
An experimental system has been designed and implemented with the hypothesis that this method would outperform existing techniques, and the experimental results showed that indeed the proposed ontology-based approach improves spam filtering accuracy significantly.
In this paper, two levels of ontology spam filters were implemented: a first level global ontology filter and a second level user-customized ontology filter.
The use of the global ontology filter showed about 91% of spam filtered, which is comparable with other methods.
The user-customized ontology filter was created based on the specific user’s background as well as the filtering mechanism used in the global ontology filter creation.
The main contributions of the paper are (1) to introduce an ontology-based multilevel filtering technique that uses both a global ontology and an individual filter for each user to increase spam filtering accuracy and (2) to create a spam filter in the form of ontology, which is user-customized, scalable, and modularized, so that it can be embedded to many other systems for better performance.
American Psychological Association (APA)
Youn, Seongwook. 2014. SPONGY (SPam ONtoloGY): Email Classification Using Two-Level Dynamic Ontology. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1049531
Modern Language Association (MLA)
Youn, Seongwook. SPONGY (SPam ONtoloGY): Email Classification Using Two-Level Dynamic Ontology. The Scientific World Journal No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-1049531
American Medical Association (AMA)
Youn, Seongwook. SPONGY (SPam ONtoloGY): Email Classification Using Two-Level Dynamic Ontology. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1049531
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1049531