Title :
Phishing Detection Using PSOAANN Based One-Class Classifier
Author :
Pandey, Manjusha ; Ravi, Vignesh
Author_Institution :
Inst. for Dev. & Res. in Banking Technol., Hyderabad, India
Abstract :
We propose to detect phishing emails and websites using particle swarm optimization (PSO) trained auto associative neural network (PSOAANN), which is employed as one class classifier. PSOAANN achieved better results when compared to previous efforts. In the study, we also developed a new feature selection method based on the weights from input to hidden layers of the PSOAANN. We compared its performance with other methods.
Keywords :
computer crime; feature selection; neural nets; particle swarm optimisation; pattern classification; unsolicited e-mail; PSOAANN based one-class classifier; feature selection method; particle swarm optimization trained auto associative neural network; phishing Websites; phishing detection; phishing emails; Accuracy; Electronic mail; Feature extraction; Input variables; Neural networks; Sensitivity; Training; feature selection; one class classifier; particle swarm optimization; phishing detection;
Conference_Titel :
Emerging Trends in Engineering and Technology (ICETET), 2013 6th International Conference on
Conference_Location :
Nagpur
Print_ISBN :
978-1-4799-2560-5
DOI :
10.1109/ICETET.2013.46
