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.

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1109/SAI.2015.7237323

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: 24 Feb 2016 12:10
URI: http://nrl.northumbria.ac.uk/id/eprint/26151

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