Phishing website detection fuzzy system modelling

Phoebe Barraclough, Graham Sexton

Research output: Contribution to conferencePaper

10 Citations (Scopus)

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.
Original languageEnglish
DOIs
Publication statusPublished - Jul 2015
EventSAI 2015 - Science and Information Conference - London
Duration: 1 Jul 2015 → …

Conference

ConferenceSAI 2015 - Science and Information Conference
Period1/07/15 → …

Fingerprint

Dive into the research topics of 'Phishing website detection fuzzy system modelling'. Together they form a unique fingerprint.

Cite this