DocumentCode
2703293
Title
On Spam Detection Based on Cognitive Pattern Recognition
Author
Liang, Tiancai ; Pi, Youguo
Author_Institution
South China Univ. of Technol., Guangzhou
fYear
2007
fDate
15-19 Dec. 2007
Firstpage
136
Lastpage
139
Abstract
A spam detection method, based on cognitive pattern recognition, had been proposed. The connection between Email category and cognition of Email user interest within life and work, had been analyzed. Under the guidance of cognitive pattern recognition theory, the mechanism of spam detection, based on intelligent cognition of Email user interest within life and work, had been discussed. Then the spam detection algorithm and its concrete implementation was given. Experimental results demonstrate that the spam detection algorithm has a good learning ability, scalability, and a good ability to achieve high recognition accuracy.
Keywords
cognitive systems; pattern recognition; unsolicited e-mail; Email category; cognitive pattern recognition; intelligent cognition; spam detection; Cognition; Competitive intelligence; Detection algorithms; Educational institutions; Frequency; Humans; Learning systems; Pattern recognition; Postal services; Unsolicited electronic mail;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Security Workshops, 2007. CISW 2007. International Conference on
Conference_Location
Harbin
Print_ISBN
978-0-7695-3073-4
Type
conf
DOI
10.1109/CISW.2007.4425464
Filename
4425464
Link To Document