1. Cybercrime in the Philippines: A Case Study of National Security;Li J.;Turkish Journal of Computer and Mathematics Education,2021
2. Vargas , J. , Correa Bahnsen , A. , Villegas , S. , & Ingevaldson , D. ( 2016 ). “ Knowing your enemies: Leveraging data analysis to expose phishing patterns against a major US financial institution ,” in 2016 APWG Symposium on Electronic Crime Research (eCrime), 52–61 . Vargas, J., Correa Bahnsen, A., Villegas, S., & Ingevaldson, D. (2016). “Knowing your enemies: Leveraging data analysis to expose phishing patterns against a major US financial institution,” in 2016 APWG Symposium on Electronic Crime Research (eCrime), 52–61.
3. Thakur , T. & Verma , R. ( 2014 ). Catching Classical and Hijack-Based Phishing Attacks . Cham : Springer International Publishing , 318–337. Thakur, T. & Verma, R. (2014). Catching Classical and Hijack-Based Phishing Attacks. Cham: Springer International Publishing, 318–337.
4. Classifying phishing URLs using recurrent neural networks
5. Review of the machine learning methods in the classification of phishing attack