Funder
National Natural Science Foundation of Guangdong Province, China
National Natural Science Foundation of China
National Key Research and Development Program of China
Key Research and Development Program for Guangdong Province, China
Science and Technology Planning Project of Guangdong Province, China
R&D Program of Shenzhen, China
Research Fund of PCL Future Regional Network Facilities for Large-scale Experiments and Applications, China
Subject
Artificial Intelligence,Cognitive Neuroscience
Reference39 articles.
1. Using case-based reasoning for phishing detection;Abutair;Journal of Ambient Intelligence and Humanized Computing,2018
2. Al-Janabi, M., Quincey, E. D., & Andras, P. (2017). Using supervised machine learning algorithms to detect suspicious URLs in online social networks. In Ieee/Acm international conference on advances in social networks analysis and mining (ASONAM ’17) (pp. 1104–1111). Sydney, Australia.
3. Aravindhan, R., Shanmugalakshmi, R., Ramya, K., & C, S. (2016). Certain investigation on web application security phishing detection and phishing target discovery. In 2016 3rd international conference on advanced computing and communication systems (pp. 1–10). Coimbatore, India.
4. Bahdanau, D., Cho, K., & Bengio, Y. (2015). Neural machine translation by jointly learning to align and translate. In International conference on learning representations. San Diego, California.
5. Bahnsen, A. C., Bohorquez, C. E., Villegas, S., Vargas, J., & González, F. A. (2017). Classifying phishing URLs using recurrent neural networks. In 2017 APWG symposium on electronic crime research (eCrime) (pp. 1–8). Scottsdale, AZ, USA.
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