Phishing website detection fuzzy system modelling

Barraclough, Phoebe and Sexton, Graham (2015) Phishing website detection fuzzy system modelling. In: SAI 2015 - Science and Information Conference, 28th - 30th July 2015, London.

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Abstract

This study investigates and identifies parameters in a single platform based on fuzzy system and neural network for phishing websites detection. The new approach utilizes Fuzzy systems, neural network with a set of parameters and a data set to detect phishing sites with high accuracy in real-time. A total of 300 data from six sources were used as training and testing sets using 2-fold cross-validation to train and validate the model, which has achieved the best performance (99.6%) compared to other results in the field.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	fuzzy system, parameters, phishing detection
Subjects:	G400 Computer Science
Department:	Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User:	Paul Burns
Date Deposited:	24 Feb 2016 12:10
Last Modified:	12 Oct 2019 22:55
URI:	http://nrl.northumbria.ac.uk/id/eprint/26151

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