Efficient Spam Email Filtering using Adaptive Ontology

11 years 7 months ago
Efficient Spam Email Filtering using Adaptive Ontology
Email has become one of the fastest and most economical forms of communication. However, the increase of email users has resulted in the dramatic increase of spam emails during the past few years. As spammers always try to find a way to evade existing filters, new filters need to be developed to catch spam. Ontologies allow for machine-understandable semantics of data. It is important to share information with each other for more effective spam filtering. Thus, it is necessary to build ontology and a framework for efficient email filtering. Using ontology that is specially designed to filter spam, bunch of unsolicited bulk email could be filtered out on the system. This paper proposes to find an efficient spam email filtering method using adaptive ontology
Seongwook Youn, Dennis McLeod
Added 04 Jun 2010
Updated 04 Jun 2010
Type Conference
Year 2007
Where ITNG
Authors Seongwook Youn, Dennis McLeod
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