@inproceedings{4b33fd34b1a24abbaab0dc598f993a7e,
title = "A genetic algorithm based model for chinese phishing E-commerce websites detection",
abstract = "We propose a new Chinese phishing e-commerce websites detection model which integrates the URL features and web features of websites. Some unique features of Chinese e-Commerce websites are included and Sequential Minimal Optimization (SMO) algorithm is applied to identify the phishing ecommerce websites. At the same time, we adopt the genetic algorithm (GA) to optimize the detection model. The evaluation results show that the performance of SMO algorithm is better than the baseline model and GA improves the detection accuracy significantly.",
keywords = "Chinese phishing website detection, E-commerce, Genetic algorithm, Sequential minimal optimization",
author = "Zhijun Yan and Su Liu and Hansi Jiang and Hangzhou Yang and Tianmei Wang and Baowen Sun",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 3rd International Conference on HCI in Business, Government, and Organizations: eCommerce and Innovation, HCIBGO 2016 and Held as Part of 18th International Conference on Human-Computer Interaction, HCI International 2016 ; Conference date: 17-07-2016 Through 22-07-2016",
year = "2016",
doi = "10.1007/978-3-319-39396-4_25",
language = "English",
isbn = "9783319393957",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "270--279",
editor = "Nah, {Fiona Fui-Hoon} and Chuan-Hoo Tan",
booktitle = "HCI in Business, Government, and Organizations",
address = "Germany",
}