DocumentCode :
567154
Title :
Anti-phishing prevention measure for email systems
Author :
Ayodele, Taiwo ; Shoniregun, Charles A. ; Akmayeva, Galyna
Author_Institution :
Infonetmedia Res. Lab., UK
fYear :
2012
fDate :
10-12 June 2012
Firstpage :
208
Lastpage :
211
Abstract :
This paper presents machine learning anti-phishing technique (MLAPT) - a machine learning framework that applies knowledge intensive approach to detect and prevent phishing attacks on email systems. Preventions, detections and a higher level of prevention measure can be guaranteed. The system is evaluated against a database of human-judged phishing scenarios, reaching satisfactory level of performance.
Keywords :
electronic mail; learning (artificial intelligence); security of data; MLAPT; antiphishing prevention measurement; email systems; human judged phishing; machine learning antiphishing technique; Business; Electronic mail; IP networks; Internet; Machine learning; Postal services; Security; Anti-phishing like behaviours; Anti-phishing prevention measure; Behavioural pattern; Email systems; Emails; phishing; phishing attack;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Internet Security (WorldCIS), 2012 World Congress on
Conference_Location :
Guelph, ON
Print_ISBN :
978-1-4673-1108-3
Type :
conf
Filename :
6280179
Link To Document :
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