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

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=567154