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Deceptive phishing detection system: From audio and text messages in Instant Messengers using Data Mining approach

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2 Author(s)
Ali, M.M. ; Dept. of CSE, Muffakamjah Coll. of Eng. & Technol., Hyderabad, India ; Rajamani, L.

Deceptive Phishing is the major problem in Instant Messengers, much of sensitive and personal information, disclosed through socio-engineered text messages for which solution is proposed[2] but, detection of phishing through voice chatting technique in Instant Messengers is not yet done which is the motivating factor to carry out the work and solution to address this problem of privacy in Instant Messengers (IM) is proposed using Association Rule Mining (ARM) technique a Data Mining approach integrated with Speech Recognition system. Words are recognized from speech with the help of FFT spectrum analysis and LPC coefficients methodologies. Online criminal's now-a-days adapted voice chatting technique along with text messages collaboratively or either of them in IM's and wraps out personal information leads to threat and hindrance for privacy. In order to focus on privacy preserving we developed and experimented Anti Phishing Detection system (APD) in IM's to detect deceptive phishing for text and audio collaboratively.

Published in:

Pattern Recognition, Informatics and Medical Engineering (PRIME), 2012 International Conference on

Date of Conference:

21-23 March 2012

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